{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "6b84fefd-5936-4da4-ab6b-5b944329ad1d", "metadata": {}, "outputs": [], "source": [ "import os" ] }, { "cell_type": "code", "execution_count": 3, "id": "9cf130e3-62ef-46e0-bbdc-b13d9d29318d", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "from sklearn.model_selection import train_test_split\n", "import matplotlib.pyplot as plt\n", "#新增加的两行\n", "from pylab import mpl\n", "# 设置显示中文字体\n", "mpl.rcParams[\"font.sans-serif\"] = [\"SimHei\"]\n", "\n", "mpl.rcParams[\"axes.unicode_minus\"] = False" ] }, { "cell_type": "code", "execution_count": 4, "id": "752381a5-0aeb-4c54-bc48-f9c3f8fc5d17", "metadata": {}, "outputs": [], "source": [ "data = pd.read_excel('./data/20240123/煤炭数据.xlsx', header=[1])\n", "data.drop(columns=data.columns[11:], inplace=True)" ] }, { "cell_type": "code", "execution_count": 5, "id": "04b177a7-2f02-4e23-8ea9-29f34cf3eafc", "metadata": {}, "outputs": [], "source": [ "object_cols = ['活化剂种类', '混合方式']\n", "data = pd.get_dummies(data, columns=object_cols)" ] }, { "cell_type": "code", "execution_count": 6, "id": "31169fbf-d78e-42f7-87f3-71ba3dd0979d", "metadata": {}, "outputs": [], "source": [ "out_cols = ['比表面积', '总孔体积', '微孔体积']\n", "feature_cols = [x for x in data.columns if x not in out_cols]" ] }, { "cell_type": "code", "execution_count": 7, "id": "a40bee0f-011a-4edb-80f8-4e2f40e755fd", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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灰分(d)挥发分(daf）活化剂比例活化温度活化时间升温速率比表面积总孔体积微孔体积活化剂种类_KOH混合方式_浸渍混合方式_研磨
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158 rows × 12 columns

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" ], "text/plain": [ " 灰分(d) 挥发分(daf） 活化剂比例 活化温度 活化时间 升温速率 比表面积 总孔体积 微孔体积 \\\n", "0 11.25 17.06 3.0 800 1.0 5.0 2784.0 1.0830 0.853 \n", "1 8.53 13.46 3.0 800 1.0 5.0 2934.0 1.2290 1.074 \n", "2 18.08 13.85 3.0 800 1.0 5.0 3059.0 1.3044 1.011 \n", "3 11.42 12.31 3.0 800 1.0 5.0 2365.0 0.8030 0.605 \n", "4 11.60 8.49 3.0 800 1.0 5.0 2988.0 1.2820 0.944 \n", ".. ... ... ... ... ... ... ... ... ... \n", "153 4.18 9.77 1.5 800 1.0 5.0 1772.0 0.7383 0.660 \n", "154 4.18 9.77 2.0 800 1.0 5.0 2382.0 1.0370 0.899 \n", "155 4.18 9.77 2.5 800 1.0 5.0 2996.0 1.3520 1.162 \n", "156 4.18 9.77 3.0 800 1.0 5.0 3142.0 1.6080 1.204 \n", "157 4.18 9.77 3.5 800 1.0 5.0 3389.0 2.0410 1.022 \n", "\n", " 活化剂种类_KOH 混合方式_浸渍 混合方式_研磨 \n", "0 1 0 1 \n", "1 1 0 1 \n", "2 1 0 1 \n", "3 1 0 1 \n", "4 1 0 1 \n", ".. ... ... ... \n", "153 1 0 1 \n", "154 1 0 1 \n", "155 1 0 1 \n", "156 1 0 1 \n", "157 1 0 1 \n", "\n", "[158 rows x 12 columns]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data = data.dropna(subset=out_cols).ffill().reset_index(drop=True)\n", "train_data" ] }, { "cell_type": "code", "execution_count": 10, "id": "7424096a-1283-46aa-a5a8-909ad3d60d9b", "metadata": {}, "outputs": [], "source": [ "import seaborn as sns" ] }, { "cell_type": "code", "execution_count": 11, "id": "c7b2cb8d-18bb-489a-af0c-29d80c719aa4", "metadata": {}, "outputs": [], "source": [ "train_data['比表面积'] = np.log1p(train_data['比表面积'])" ] }, { "cell_type": "code", "execution_count": 12, "id": "535d37b6-b9de-4025-ac8f-62f5bdbe2451", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2024-04-08 11:13:19.810980: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n" ] } ], "source": [ "import tensorflow as tf\n", "import keras\n", "from keras import layers\n", "import keras.backend as K" ] }, { "cell_type": "code", "execution_count": 13, "id": "1c85d462-f248-4ffb-908f-eb4b20eab179", "metadata": {}, "outputs": [], "source": [ "class TransformerBlock(layers.Layer):\n", " def __init__(self, embed_dim, num_heads, ff_dim, name, rate=0.1):\n", " super().__init__()\n", " self.att = layers.MultiHeadAttention(num_heads=num_heads, key_dim=embed_dim, name=name)\n", " self.ffn = keras.Sequential(\n", " [layers.Dense(ff_dim, activation=\"relu\"), layers.Dense(embed_dim),]\n", " )\n", " self.layernorm1 = layers.LayerNormalization(epsilon=1e-6)\n", " self.layernorm2 = layers.LayerNormalization(epsilon=1e-6)\n", " self.dropout1 = layers.Dropout(rate)\n", " self.dropout2 = layers.Dropout(rate)\n", "\n", " def call(self, inputs, training):\n", " attn_output = self.att(inputs, inputs)\n", " attn_output = self.dropout1(attn_output, training=training)\n", " out1 = self.layernorm1(inputs + attn_output)\n", " ffn_output = self.ffn(out1)\n", " ffn_output = self.dropout2(ffn_output, training=training)\n", " return self.layernorm2(out1 + ffn_output)" ] }, { "cell_type": "code", "execution_count": 14, "id": "790284a3-b9d3-4144-b481-38a7c3ecb4b9", "metadata": {}, "outputs": [], "source": [ "from keras import Model" ] }, { "cell_type": "code", "execution_count": 15, "id": "cd9a1ca1-d0ca-4cb5-9ef5-fd5d63576cd2", "metadata": {}, "outputs": [], "source": [ "from keras.initializers import Constant" ] }, { "cell_type": "code", "execution_count": 16, "id": "9bc02f29-0fb7-420d-99a8-435eadc06e29", "metadata": {}, "outputs": [], "source": [ "# Custom loss layer\n", "class CustomMultiLossLayer(layers.Layer):\n", " def __init__(self, nb_outputs=2, **kwargs):\n", " self.nb_outputs = nb_outputs\n", " self.is_placeholder = True\n", " super(CustomMultiLossLayer, self).__init__(**kwargs)\n", " \n", " def build(self, input_shape=None):\n", " # initialise log_vars\n", " self.log_vars = []\n", " for i in range(self.nb_outputs):\n", " self.log_vars += [self.add_weight(name='log_var' + str(i), shape=(1,),\n", " initializer=tf.initializers.he_normal(), trainable=True)]\n", " super(CustomMultiLossLayer, self).build(input_shape)\n", "\n", " def multi_loss(self, ys_true, ys_pred):\n", " assert len(ys_true) == self.nb_outputs and len(ys_pred) == self.nb_outputs\n", " loss = 0\n", " for y_true, y_pred, log_var in zip(ys_true, ys_pred, self.log_vars):\n", " mse = (y_true - y_pred) ** 2.\n", " pre = K.exp(-log_var[0])\n", " loss += tf.abs(tf.reduce_logsumexp(pre * mse + log_var[0], axis=-1))\n", " return K.mean(loss)\n", "\n", " def call(self, inputs):\n", " ys_true = inputs[:self.nb_outputs]\n", " ys_pred = inputs[self.nb_outputs:]\n", " loss = self.multi_loss(ys_true, ys_pred)\n", " self.add_loss(loss, inputs=inputs)\n", " # We won't actually use the output.\n", " return K.concatenate(inputs, -1)" ] }, { "cell_type": "code", "execution_count": 17, "id": "a190207e-5a59-4813-9660-758760cf1b73", "metadata": {}, "outputs": [], "source": [ "num_heads, ff_dim = 3, 12" ] }, { "cell_type": "code", "execution_count": 18, "id": "80f32155-e71f-4615-8d0c-01dfd04988fe", "metadata": {}, "outputs": [], "source": [ "def get_prediction_model():\n", " def build_output(out, out_name):\n", " # self_block = TransformerBlock(64, num_heads, ff_dim, name=f'{out_name}_attn')\n", " # out = self_block(out)\n", " # out = layers.GlobalAveragePooling1D()(out)\n", " # out = layers.Dropout(0.1)(out)\n", " out = layers.Dense(32, activation=\"relu\")(out)\n", " return out\n", " inputs = layers.Input(shape=(1,len(feature_cols)), name='input')\n", " x = layers.Conv1D(filters=64, kernel_size=1, activation='relu')(inputs)\n", " x = layers.Dropout(rate=0.1)(x)\n", " lstm_out = layers.Bidirectional(layers.LSTM(units=64, return_sequences=True))(x)\n", " out = layers.Dense(128, activation='relu')(lstm_out)\n", " transformer_block = TransformerBlock(128, num_heads, ff_dim, name='first_attn')\n", " out = transformer_block(lstm_out)\n", " out = layers.GlobalAveragePooling1D()(out)\n", " out = layers.Dropout(0.1)(out)\n", " out = layers.Dense(64, activation='relu')(out)\n", " # out = K.expand_dims(out, axis=1)\n", "\n", " bet = build_output(out, 'bet')\n", " mesco = build_output(out, 'mesco')\n", " micro = build_output(out, 'micro')\n", "\n", " bet = layers.Dense(1, activation='sigmoid', name='bet2')(bet)\n", " mesco = layers.Dense(1, activation='sigmoid', name='mesco2')(mesco)\n", " micro = layers.Dense(1, activation='sigmoid', name='micro2')(micro)\n", "\n", " model = Model(inputs=[inputs], outputs=[bet, mesco, micro])\n", " return model\n" ] }, { "cell_type": "code", "execution_count": 19, "id": "264001b1-5e4a-4786-96fd-2b5c70ab3212", "metadata": {}, "outputs": [], "source": [ "def get_trainable_model(prediction_model):\n", " inputs = layers.Input(shape=(1,len(feature_cols)), name='input')\n", " bet, mesco, micro = prediction_model(inputs)\n", " bet_real = layers.Input(shape=(1,), name='bet_real')\n", " mesco_real = layers.Input(shape=(1,), name='mesco_real')\n", " micro_real = layers.Input(shape=(1,), name='micro_real')\n", " out = CustomMultiLossLayer(nb_outputs=3)([bet_real, mesco_real, micro_real, bet, mesco, micro])\n", " return Model([inputs, bet_real, mesco_real, micro_real], out)" ] }, { "cell_type": "code", "execution_count": 20, "id": "1eebdab3-1f88-48a1-b5e0-bc8787528c1b", "metadata": {}, "outputs": [], "source": [ "maxs = train_data.max()\n", "mins = train_data.min()\n", "for col in train_data.columns:\n", " train_data[col] = train_data[col].astype(float)\n", " if maxs[col] - mins[col] == 0:\n", " continue\n", " train_data[col] = (train_data[col] - mins[col]) / (maxs[col] - mins[col])" ] }, { "cell_type": "code", "execution_count": 21, "id": "7f27bd56-4f6b-4242-9f79-c7d6b3ee2f13", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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灰分(d)挥发分(daf）活化剂比例活化温度活化时间升温速率比表面积总孔体积微孔体积活化剂种类_KOH混合方式_浸渍混合方式_研磨
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158 rows × 12 columns

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" ], "text/plain": [ " 灰分(d) 挥发分(daf） 活化剂比例 活化温度 活化时间 升温速率 比表面积 \\\n", "0 0.265345 0.224627 0.491525 0.62963 0.142857 0.0 0.916251 \n", "1 0.201133 0.160752 0.491525 0.62963 0.142857 0.0 0.929645 \n", "2 0.426582 0.167672 0.491525 0.62963 0.142857 0.0 0.940237 \n", "3 0.269358 0.140348 0.491525 0.62963 0.142857 0.0 0.874116 \n", "4 0.273607 0.072569 0.491525 0.62963 0.142857 0.0 0.934281 \n", ".. ... ... ... ... ... ... ... \n", "153 0.098442 0.095280 0.237288 0.62963 0.142857 0.0 0.797597 \n", "154 0.098442 0.095280 0.322034 0.62963 0.142857 0.0 0.875983 \n", "155 0.098442 0.095280 0.406780 0.62963 0.142857 0.0 0.934960 \n", "156 0.098442 0.095280 0.491525 0.62963 0.142857 0.0 0.947009 \n", "157 0.098442 0.095280 0.576271 0.62963 0.142857 0.0 0.966042 \n", "\n", " 总孔体积 微孔体积 活化剂种类_KOH 混合方式_浸渍 混合方式_研磨 \n", "0 0.371910 0.417894 1.0 0.0 1.0 \n", "1 0.426592 0.538462 1.0 0.0 1.0 \n", "2 0.454831 0.504092 1.0 0.0 1.0 \n", "3 0.267041 0.282597 1.0 0.0 1.0 \n", "4 0.446442 0.467540 1.0 0.0 1.0 \n", ".. ... ... ... ... ... \n", "153 0.242809 0.312602 1.0 0.0 1.0 \n", "154 0.354682 0.442990 1.0 0.0 1.0 \n", "155 0.472659 0.586470 1.0 0.0 1.0 \n", "156 0.568539 0.609384 1.0 0.0 1.0 \n", "157 0.730712 0.510093 1.0 0.0 1.0 \n", "\n", "[158 rows x 12 columns]" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_data" ] }, { "cell_type": "code", "execution_count": 22, "id": "baf45a3d-dc01-44fc-9f0b-456964ac2cdb", "metadata": {}, "outputs": [], "source": [ "# feature_cols = [x for x in train_data.columns if x not in out_cols and '第二次' not in x]\n", "feature_cols = [x for x in train_data.columns if x not in out_cols]\n", "use_cols = feature_cols + out_cols" ] }, { "cell_type": "code", "execution_count": 23, "id": "f2d27538-d2bc-4202-b0cf-d3e0949b4686", "metadata": {}, "outputs": [], "source": [ "use_data = train_data[use_cols].copy()\n", "for col in use_cols:\n", " use_data[col] = use_data[col].astype('float32')" ] }, { "cell_type": "code", "execution_count": 24, "id": "eeebafb2-1496-4248-9697-819d065f77b9", "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import KFold\n", "kf = KFold(n_splits=10, shuffle=True, random_state=42)" ] }, { "cell_type": "code", "execution_count": 25, "id": "ae7ddb36-2456-45b7-9580-447e1a13ae7f", "metadata": {}, "outputs": [], "source": [ "from keras import optimizers" ] }, { "cell_type": "code", "execution_count": 26, "id": "be4ee01b-6e52-47cf-9d43-587334a30dae", "metadata": {}, "outputs": [], "source": [ "from keras.callbacks import ReduceLROnPlateau\n", "reduce_lr = ReduceLROnPlateau(monitor='val_loss', patience=10, mode='auto')" ] }, { "cell_type": "code", "execution_count": 27, "id": "42cb8083-d37b-41e8-b674-fc8f2789a1b9", "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score, mean_absolute_percentage_error\n", "def print_eva(y_true, y_pred, tp):\n", " MSE = mean_squared_error(y_true, y_pred)\n", " RMSE = np.sqrt(MSE)\n", " MAE = mean_absolute_error(y_true, y_pred)\n", " MAPE = mean_absolute_percentage_error(y_true, y_pred)\n", " R_2 = r2_score(y_true, y_pred)\n", " print(f\"COL: {tp}, MSE: {format(MSE, '.2E')}\", end=',')\n", " print(f'RMSE: {round(RMSE, 4)}', end=',')\n", " print(f'MAPE: {round(MAPE, 4) * 100} %', end=',')\n", " print(f'MAE: {round(MAE, 4)}', end=',')\n", " print(f'R_2: {round(R_2, 4)}')\n", " return [MSE, RMSE, MAE, MAPE, R_2]" ] }, { "cell_type": "code", "execution_count": 29, "id": "7404a0c6-1325-4348-b0a4-25dae3067d78", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2024-04-08 11:13:33.925432: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcuda.so.1\n", "2024-04-08 11:13:33.947575: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties: \n", "pciBusID: 0000:9c:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0\n", "coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.44GiB deviceMemoryBandwidth: 1.41TiB/s\n", "2024-04-08 11:13:33.947605: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n", "2024-04-08 11:13:33.968875: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11\n", "2024-04-08 11:13:33.968940: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11\n", "2024-04-08 11:13:33.972012: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcufft.so.10\n", "2024-04-08 11:13:33.972302: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcurand.so.10\n", "2024-04-08 11:13:33.972899: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusolver.so.11\n", "2024-04-08 11:13:33.973713: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcusparse.so.11\n", "2024-04-08 11:13:33.973880: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8\n", "2024-04-08 11:13:33.976420: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0\n", "2024-04-08 11:13:33.976836: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA\n", "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", "2024-04-08 11:13:33.986546: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1733] Found device 0 with properties: \n", "pciBusID: 0000:9c:00.0 name: NVIDIA A100-PCIE-40GB computeCapability: 8.0\n", "coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.44GiB deviceMemoryBandwidth: 1.41TiB/s\n", "2024-04-08 11:13:33.989040: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1871] Adding visible gpu devices: 0\n", "2024-04-08 11:13:33.989091: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudart.so.11.0\n", "2024-04-08 11:13:34.622398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1258] Device interconnect StreamExecutor with strength 1 edge matrix:\n", "2024-04-08 11:13:34.622417: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1264] 0 \n", "2024-04-08 11:13:34.622422: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1277] 0: N \n", "2024-04-08 11:13:34.626343: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1418] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 37675 MB memory) -> physical GPU (device: 0, name: NVIDIA A100-PCIE-40GB, pci bus id: 0000:9c:00.0, compute capability: 8.0)\n", "2024-04-08 11:13:47.978373: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:176] None of the MLIR Optimization Passes are enabled (registered 2)\n", "2024-04-08 11:13:47.994803: I tensorflow/core/platform/profile_utils/cpu_utils.cc:114] CPU Frequency: 2200000000 Hz\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/280\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "2024-04-08 11:14:01.812069: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcudnn.so.8\n", "2024-04-08 11:14:02.937519: I tensorflow/stream_executor/cuda/cuda_dnn.cc:359] Loaded cuDNN version 8700\n", "2024-04-08 11:14:03.573600: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublas.so.11\n", "2024-04-08 11:14:03.574110: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libcublasLt.so.11\n", "2024-04-08 11:14:03.806121: I tensorflow/stream_executor/cuda/cuda_blas.cc:1838] TensorFloat-32 will be used for the matrix multiplication. This will only be logged once.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "15/15 [==============================] - 18s 101ms/step - loss: 6.0853 - val_loss: 6.0270\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 6.0146 - val_loss: 5.9848\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.9665 - val_loss: 5.9331\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.9214 - val_loss: 5.8883\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.8715 - val_loss: 5.8414\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 5.8291 - val_loss: 5.7992\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 5.7840 - val_loss: 5.7525\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 5.7362 - val_loss: 5.7064\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 5.6912 - val_loss: 5.6601\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 5.6494 - val_loss: 5.6172\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.6031 - val_loss: 5.5690\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 5.5554 - val_loss: 5.5244\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 5.5094 - val_loss: 5.4814\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 5.4629 - val_loss: 5.4334\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.4173 - val_loss: 5.3924\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.3758 - val_loss: 5.3440\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 5.3243 - val_loss: 5.2960\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 5.2835 - val_loss: 5.2535\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.2403 - val_loss: 5.2099\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 5.1915 - val_loss: 5.1600\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.1437 - val_loss: 5.1163\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.1032 - val_loss: 5.0668\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 5.0552 - val_loss: 5.0426\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 5.0285 - val_loss: 4.9953\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.9751 - val_loss: 4.9410\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.9293 - val_loss: 4.9016\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.8772 - val_loss: 4.8457\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 4.8378 - val_loss: 4.8094\n", "Epoch 29/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.7859 - val_loss: 4.7582\n", "Epoch 30/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.7452 - val_loss: 4.7266\n", "Epoch 31/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.7049 - val_loss: 4.6671\n", "Epoch 32/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.6538 - val_loss: 4.6273\n", "Epoch 33/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.6117 - val_loss: 4.5850\n", "Epoch 34/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.5648 - val_loss: 4.5436\n", "Epoch 35/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.5190 - val_loss: 4.4914\n", "Epoch 36/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.4741 - val_loss: 4.4457\n", "Epoch 37/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 4.4274 - val_loss: 4.4000\n", "Epoch 38/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.3819 - val_loss: 4.3606\n", "Epoch 39/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.3497 - val_loss: 4.3305\n", "Epoch 40/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.3177 - val_loss: 4.3048\n", "Epoch 41/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.2876 - val_loss: 4.2689\n", "Epoch 42/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.2592 - val_loss: 4.2384\n", "Epoch 43/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 4.2289 - val_loss: 4.2159\n", "Epoch 44/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 4.1975 - val_loss: 4.1815\n", "Epoch 45/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.1707 - val_loss: 4.1547\n", "Epoch 46/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.1543 - val_loss: 4.1404\n", "Epoch 47/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.1142 - val_loss: 4.1112\n", "Epoch 48/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.0801 - val_loss: 4.0668\n", "Epoch 49/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.0530 - val_loss: 4.0336\n", "Epoch 50/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 4.0184 - val_loss: 4.0059\n", "Epoch 51/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.9920 - val_loss: 3.9744\n", "Epoch 52/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.9605 - val_loss: 3.9486\n", "Epoch 53/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.9278 - val_loss: 3.9156\n", "Epoch 54/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.8994 - val_loss: 3.8840\n", "Epoch 55/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.8660 - val_loss: 3.8531\n", "Epoch 56/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.8381 - val_loss: 3.8223\n", "Epoch 57/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.8065 - val_loss: 3.7922\n", "Epoch 58/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.7815 - val_loss: 3.7619\n", "Epoch 59/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.7489 - val_loss: 3.7333\n", "Epoch 60/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.7183 - val_loss: 3.7022\n", "Epoch 61/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.6889 - val_loss: 3.6773\n", "Epoch 62/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.6607 - val_loss: 3.6405\n", "Epoch 63/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.6283 - val_loss: 3.6107\n", "Epoch 64/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.5965 - val_loss: 3.5830\n", "Epoch 65/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.5705 - val_loss: 3.5539\n", "Epoch 66/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.5388 - val_loss: 3.5255\n", "Epoch 67/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.5076 - val_loss: 3.4899\n", "Epoch 68/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 3.4752 - val_loss: 3.4631\n", "Epoch 69/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4472 - val_loss: 3.4308\n", "Epoch 70/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.4196 - val_loss: 3.4010\n", "Epoch 71/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.3878 - val_loss: 3.3734\n", "Epoch 72/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.3587 - val_loss: 3.3409\n", "Epoch 73/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.3293 - val_loss: 3.3142\n", "Epoch 74/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.2995 - val_loss: 3.2816\n", "Epoch 75/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.2690 - val_loss: 3.2501\n", "Epoch 76/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.2388 - val_loss: 3.2263\n", "Epoch 77/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.2082 - val_loss: 3.1885\n", "Epoch 78/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.1786 - val_loss: 3.1581\n", "Epoch 79/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.1471 - val_loss: 3.1334\n", "Epoch 80/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.1202 - val_loss: 3.1044\n", "Epoch 81/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.0861 - val_loss: 3.0721\n", "Epoch 82/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.0574 - val_loss: 3.0442\n", "Epoch 83/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.0296 - val_loss: 3.0117\n", "Epoch 84/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.0023 - val_loss: 2.9930\n", "Epoch 85/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.9710 - val_loss: 2.9580\n", "Epoch 86/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.9474 - val_loss: 2.9242\n", "Epoch 87/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.9095 - val_loss: 2.9010\n", "Epoch 88/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.8816 - val_loss: 2.8642\n", "Epoch 89/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.8502 - val_loss: 2.8332\n", "Epoch 90/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.8203 - val_loss: 2.8042\n", "Epoch 91/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.7879 - val_loss: 2.7716\n", "Epoch 92/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.7570 - val_loss: 2.7430\n", "Epoch 93/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.7259 - val_loss: 2.7168\n", "Epoch 94/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.7021 - val_loss: 2.6885\n", "Epoch 95/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 2.6682 - val_loss: 2.6570\n", "Epoch 96/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.6432 - val_loss: 2.6263\n", "Epoch 97/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.6101 - val_loss: 2.5897\n", "Epoch 98/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.5778 - val_loss: 2.5681\n", "Epoch 99/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.5558 - val_loss: 2.5327\n", "Epoch 100/280\n", "15/15 [==============================] - 0s 17ms/step - loss: 2.5251 - val_loss: 2.5061\n", "Epoch 101/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.4936 - val_loss: 2.4761\n", "Epoch 102/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.4649 - val_loss: 2.4512\n", "Epoch 103/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.4312 - val_loss: 2.4154\n", "Epoch 104/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.4000 - val_loss: 2.3838\n", "Epoch 105/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.3727 - val_loss: 2.3540\n", "Epoch 106/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.3407 - val_loss: 2.3310\n", "Epoch 107/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.3078 - val_loss: 2.3006\n", "Epoch 108/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.2818 - val_loss: 2.2619\n", "Epoch 109/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.2515 - val_loss: 2.2308\n", "Epoch 110/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.2204 - val_loss: 2.2044\n", "Epoch 111/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.1891 - val_loss: 2.1807\n", "Epoch 112/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 2.1606 - val_loss: 2.1410\n", "Epoch 113/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.1317 - val_loss: 2.1113\n", "Epoch 114/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0990 - val_loss: 2.0811\n", "Epoch 115/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.0764 - val_loss: 2.0522\n", "Epoch 116/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0421 - val_loss: 2.0214\n", "Epoch 117/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0155 - val_loss: 1.9915\n", "Epoch 118/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.9799 - val_loss: 1.9629\n", "Epoch 119/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.9494 - val_loss: 1.9385\n", "Epoch 120/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9251 - val_loss: 1.9051\n", "Epoch 121/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.8949 - val_loss: 1.8759\n", "Epoch 122/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.8644 - val_loss: 1.8706\n", "Epoch 123/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.8489 - val_loss: 1.8308\n", "Epoch 124/280\n", "15/15 [==============================] - 0s 17ms/step - loss: 1.8087 - val_loss: 1.7977\n", "Epoch 125/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7749 - val_loss: 1.7688\n", "Epoch 126/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7534 - val_loss: 1.7378\n", "Epoch 127/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7127 - val_loss: 1.7045\n", "Epoch 128/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6865 - val_loss: 1.6744\n", "Epoch 129/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.6573 - val_loss: 1.6427\n", "Epoch 130/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6235 - val_loss: 1.6109\n", "Epoch 131/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5967 - val_loss: 1.5835\n", "Epoch 132/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5669 - val_loss: 1.5545\n", "Epoch 133/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5339 - val_loss: 1.5174\n", "Epoch 134/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.5093 - val_loss: 1.4934\n", "Epoch 135/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.4793 - val_loss: 1.4596\n", "Epoch 136/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4495 - val_loss: 1.4335\n", "Epoch 137/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4142 - val_loss: 1.4022\n", "Epoch 138/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.3924 - val_loss: 1.3786\n", "Epoch 139/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.3609 - val_loss: 1.3442\n", "Epoch 140/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3259 - val_loss: 1.3106\n", "Epoch 141/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 1.3040 - val_loss: 1.2859\n", "Epoch 142/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.2730 - val_loss: 1.2550\n", "Epoch 143/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.2509 - val_loss: 1.2333\n", "Epoch 144/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.2160 - val_loss: 1.1922\n", "Epoch 145/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 1.1840 - val_loss: 1.1680\n", "Epoch 146/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1514 - val_loss: 1.1352\n", "Epoch 147/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1227 - val_loss: 1.1014\n", "Epoch 148/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0908 - val_loss: 1.0708\n", "Epoch 149/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0584 - val_loss: 1.0415\n", "Epoch 150/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0349 - val_loss: 1.0432\n", "Epoch 151/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.0144 - val_loss: 0.9994\n", "Epoch 152/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9710 - val_loss: 0.9684\n", "Epoch 153/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.9420 - val_loss: 0.9297\n", "Epoch 154/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9124 - val_loss: 0.9023\n", "Epoch 155/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.8858 - val_loss: 0.8702\n", "Epoch 156/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8488 - val_loss: 0.8434\n", "Epoch 157/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.8263 - val_loss: 0.8078\n", "Epoch 158/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7939 - val_loss: 0.7735\n", "Epoch 159/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7592 - val_loss: 0.7428\n", "Epoch 160/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7293 - val_loss: 0.7199\n", "Epoch 161/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7086 - val_loss: 0.6938\n", "Epoch 162/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6708 - val_loss: 0.6575\n", "Epoch 163/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6533 - val_loss: 0.6233\n", "Epoch 164/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6125 - val_loss: 0.5980\n", "Epoch 165/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.5825 - val_loss: 0.5767\n", "Epoch 166/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5650 - val_loss: 0.5598\n", "Epoch 167/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5533 - val_loss: 0.5545\n", "Epoch 168/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5384 - val_loss: 0.5321\n", "Epoch 169/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5180 - val_loss: 0.5248\n", "Epoch 170/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5119 - val_loss: 0.5090\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.4882 - val_loss: 0.5010\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4835 - val_loss: 0.4774\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.4757 - val_loss: 0.4660\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4536 - val_loss: 0.4500\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4341 - val_loss: 0.4243\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4202 - val_loss: 0.4098\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4045 - val_loss: 0.3962\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3846 - val_loss: 0.3807\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.3694 - val_loss: 0.3647\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3567 - val_loss: 0.3471\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3420 - val_loss: 0.3336\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.3252 - val_loss: 0.3194\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3148 - val_loss: 0.3046\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2958 - val_loss: 0.2945\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2874 - val_loss: 0.2774\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2675 - val_loss: 0.2683\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.2531 - val_loss: 0.2504\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.2370 - val_loss: 0.2337\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2288 - val_loss: 0.2140\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.2054 - val_loss: 0.2039\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1923 - val_loss: 0.1865\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1747 - val_loss: 0.1732\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1657 - val_loss: 0.1587\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1380 - val_loss: 0.1423\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.1289 - val_loss: 0.1306\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1186 - val_loss: 0.1169\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0992 - val_loss: 0.1038\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0894 - val_loss: 0.0899\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0703 - val_loss: 0.0739\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0535 - val_loss: 0.0572\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0530 - val_loss: 0.0662\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0280 - val_loss: 0.0423\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0258 - val_loss: 0.0344\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0237 - val_loss: 0.0353\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0324 - val_loss: 0.0419\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0205 - val_loss: 0.0343\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0245 - val_loss: 0.0331\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0255 - val_loss: 0.0392\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0245 - val_loss: 0.0384\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0255 - val_loss: 0.0319\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0230 - val_loss: 0.0292\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0255 - val_loss: 0.0305\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0235 - val_loss: 0.0340\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0225 - val_loss: 0.0325\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0210 - val_loss: 0.0295\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0240 - val_loss: 0.0353\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0175 - val_loss: 0.0366\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0189 - val_loss: 0.0321\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0204 - val_loss: 0.0327\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0251 - val_loss: 0.0379\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0216 - val_loss: 0.0369\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0206 - val_loss: 0.0367\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0264 - val_loss: 0.0361\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0181 - val_loss: 0.0352\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0139 - val_loss: 0.0349\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0186 - val_loss: 0.0348\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0128 - val_loss: 0.0348\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0186 - val_loss: 0.0349\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0150 - val_loss: 0.0350\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0171 - val_loss: 0.0343\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0158 - val_loss: 0.0342\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0156 - val_loss: 0.0341\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0125 - val_loss: 0.0339\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0338\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0136 - val_loss: 0.0336\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0172 - val_loss: 0.0336\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0151 - val_loss: 0.0337\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0164 - val_loss: 0.0338\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0135 - val_loss: 0.0339\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0125 - val_loss: 0.0340\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0179 - val_loss: 0.0342\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0139 - val_loss: 0.0342\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0342\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0127 - val_loss: 0.0342\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0156 - val_loss: 0.0342\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0189 - val_loss: 0.0342\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0139 - val_loss: 0.0341\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0172 - val_loss: 0.0341\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0198 - val_loss: 0.0341\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0154 - val_loss: 0.0341\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0162 - val_loss: 0.0341\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0159 - val_loss: 0.0342\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0143 - val_loss: 0.0342\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0157 - val_loss: 0.0342\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0159 - val_loss: 0.0341\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0216 - val_loss: 0.0342\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0193 - val_loss: 0.0341\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0234 - val_loss: 0.0341\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0154 - val_loss: 0.0341\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0154 - val_loss: 0.0341\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0209 - val_loss: 0.0341\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0173 - val_loss: 0.0341\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0196 - val_loss: 0.0341\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0162 - val_loss: 0.0341\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0134 - val_loss: 0.0341\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0238 - val_loss: 0.0341\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0129 - val_loss: 0.0341\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0138 - val_loss: 0.0341\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0160 - val_loss: 0.0341\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0193 - val_loss: 0.0341\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0197 - val_loss: 0.0341\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0152 - val_loss: 0.0341\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0137 - val_loss: 0.0341\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 10ms/step - loss: 0.0105 - val_loss: 0.0341\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0147 - val_loss: 0.0341\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0125 - val_loss: 0.0341\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0176 - val_loss: 0.0341\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0139 - val_loss: 0.0341\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0161 - val_loss: 0.0341\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0341\n", "COL: 比表面积, MSE: 1.32E-01,RMSE: 0.3629,MAPE: 3.6700000000000004 %,MAE: 0.2619,R_2: 0.2356\n", "COL: 总孔体积, MSE: 7.52E-02,RMSE: 0.2742,MAPE: 27.810000000000002 %,MAE: 0.1978,R_2: 0.5771\n", "COL: 微孔体积, MSE: 3.16E-02,RMSE: 0.1779,MAPE: 27.389999999999997 %,MAE: 0.1412,R_2: 0.3639\n", "Epoch 1/280\n", "15/15 [==============================] - 6s 93ms/step - loss: 1.8382 - val_loss: 1.6969\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 1.6804 - val_loss: 1.6477\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6384 - val_loss: 1.6156\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6002 - val_loss: 1.5794\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.5757 - val_loss: 1.5500\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5482 - val_loss: 1.5252\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.5112 - val_loss: 1.4768\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4720 - val_loss: 1.4442\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4436 - val_loss: 1.4154\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4106 - val_loss: 1.3848\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3779 - val_loss: 1.3495\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3496 - val_loss: 1.3266\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3157 - val_loss: 1.2910\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2770 - val_loss: 1.2666\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.2492 - val_loss: 1.2274\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2195 - val_loss: 1.1976\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1825 - val_loss: 1.1668\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1551 - val_loss: 1.1331\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1302 - val_loss: 1.1090\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1015 - val_loss: 1.0747\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0671 - val_loss: 1.0434\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0422 - val_loss: 1.0214\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0175 - val_loss: 0.9870\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9689 - val_loss: 0.9571\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.9638 - val_loss: 0.9219\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9229 - val_loss: 0.8921\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8851 - val_loss: 0.8686\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8600 - val_loss: 0.8591\n", "Epoch 29/280\n", "15/15 [==============================] - 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loss: 0.0183 - val_loss: 0.0486\n", "Epoch 104/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0204 - val_loss: 0.0498\n", "Epoch 105/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0251 - val_loss: 0.0499\n", "Epoch 106/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0247 - val_loss: 0.0500\n", "Epoch 107/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0222 - val_loss: 0.0499\n", "Epoch 108/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0292 - val_loss: 0.0498\n", "Epoch 109/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0247 - val_loss: 0.0498\n", "Epoch 110/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0193 - val_loss: 0.0499\n", "Epoch 111/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0191 - val_loss: 0.0500\n", "Epoch 112/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0298 - val_loss: 0.0500\n", "Epoch 113/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0323 - val_loss: 0.0499\n", "Epoch 114/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0219 - val_loss: 0.0500\n", "Epoch 115/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0245 - val_loss: 0.0499\n", "Epoch 116/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0209 - val_loss: 0.0499\n", "Epoch 117/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0213 - val_loss: 0.0499\n", "Epoch 118/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0222 - val_loss: 0.0499\n", "Epoch 119/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0214 - val_loss: 0.0499\n", "Epoch 120/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0270 - val_loss: 0.0499\n", "Epoch 121/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0230 - val_loss: 0.0499\n", "Epoch 122/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0274 - val_loss: 0.0499\n", "Epoch 123/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0183 - val_loss: 0.0499\n", "Epoch 124/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0231 - val_loss: 0.0499\n", "Epoch 125/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0288 - val_loss: 0.0499\n", "Epoch 126/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0327 - val_loss: 0.0499\n", "Epoch 127/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0328 - val_loss: 0.0499\n", "Epoch 128/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0210 - val_loss: 0.0499\n", "Epoch 129/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0301 - val_loss: 0.0499\n", "Epoch 130/280\n", "15/15 [==============================] - 0s 17ms/step - loss: 0.0311 - val_loss: 0.0499\n", "Epoch 131/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0202 - val_loss: 0.0499\n", "Epoch 132/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0228 - val_loss: 0.0499\n", "Epoch 133/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0276 - val_loss: 0.0499\n", "Epoch 134/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0227 - val_loss: 0.0499\n", "Epoch 135/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0256 - val_loss: 0.0499\n", "Epoch 136/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0312 - val_loss: 0.0499\n", "Epoch 137/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0258 - val_loss: 0.0499\n", "Epoch 138/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0158 - val_loss: 0.0499\n", "Epoch 139/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0223 - val_loss: 0.0499\n", "Epoch 140/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0243 - val_loss: 0.0499\n", "Epoch 141/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0214 - val_loss: 0.0499\n", "Epoch 142/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0260 - val_loss: 0.0499\n", "Epoch 143/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0251 - val_loss: 0.0499\n", "Epoch 144/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0221 - val_loss: 0.0499\n", "Epoch 145/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0294 - val_loss: 0.0499\n", "Epoch 146/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0243 - val_loss: 0.0499\n", "Epoch 147/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0230 - val_loss: 0.0499\n", "Epoch 148/280\n", "15/15 [==============================] - 0s 13ms/step - 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loss: 0.0268 - val_loss: 0.0499\n", "Epoch 158/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0231 - val_loss: 0.0499\n", "Epoch 159/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0213 - val_loss: 0.0499\n", "Epoch 160/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0246 - val_loss: 0.0499\n", "Epoch 161/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0207 - val_loss: 0.0499\n", "Epoch 162/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0284 - val_loss: 0.0499\n", "Epoch 163/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0242 - val_loss: 0.0499\n", "Epoch 164/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0195 - val_loss: 0.0499\n", "Epoch 165/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0277 - val_loss: 0.0499\n", "Epoch 166/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0177 - val_loss: 0.0499\n", "Epoch 167/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0304 - val_loss: 0.0499\n", "Epoch 168/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0262 - val_loss: 0.0499\n", "Epoch 169/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0261 - val_loss: 0.0499\n", "Epoch 170/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0205 - val_loss: 0.0499\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0191 - val_loss: 0.0499\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0266 - val_loss: 0.0499\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0207 - val_loss: 0.0499\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0273 - val_loss: 0.0499\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0229 - val_loss: 0.0499\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0256 - val_loss: 0.0499\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0262 - val_loss: 0.0499\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0264 - val_loss: 0.0499\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0271 - val_loss: 0.0499\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0233 - val_loss: 0.0499\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0247 - val_loss: 0.0499\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0301 - val_loss: 0.0499\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0224 - val_loss: 0.0499\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0169 - val_loss: 0.0499\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0184 - val_loss: 0.0499\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0293 - val_loss: 0.0499\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0186 - val_loss: 0.0499\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0299 - val_loss: 0.0499\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0243 - val_loss: 0.0499\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0177 - val_loss: 0.0499\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0194 - val_loss: 0.0499\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0252 - val_loss: 0.0499\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0247 - val_loss: 0.0499\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0274 - val_loss: 0.0499\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0220 - val_loss: 0.0499\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0175 - val_loss: 0.0499\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0171 - val_loss: 0.0499\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0188 - val_loss: 0.0499\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0247 - val_loss: 0.0499\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0245 - val_loss: 0.0499\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0224 - val_loss: 0.0499\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0202 - val_loss: 0.0499\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0268 - val_loss: 0.0499\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0283 - val_loss: 0.0499\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0184 - val_loss: 0.0499\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0243 - val_loss: 0.0499\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0278 - val_loss: 0.0499\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0249 - val_loss: 0.0499\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0195 - val_loss: 0.0499\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0202 - val_loss: 0.0499\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0269 - val_loss: 0.0499\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0226 - val_loss: 0.0499\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0217 - val_loss: 0.0499\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0192 - val_loss: 0.0499\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0250 - val_loss: 0.0499\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0247 - val_loss: 0.0499\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0222 - val_loss: 0.0499\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0226 - val_loss: 0.0499\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0227 - val_loss: 0.0499\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0190 - val_loss: 0.0499\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0195 - val_loss: 0.0499\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0199 - val_loss: 0.0499\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0219 - val_loss: 0.0499\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0232 - val_loss: 0.0499\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0178 - val_loss: 0.0499\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0207 - val_loss: 0.0499\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0196 - val_loss: 0.0499\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0252 - val_loss: 0.0499\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0268 - val_loss: 0.0499\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0223 - val_loss: 0.0499\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0230 - val_loss: 0.0499\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0302 - val_loss: 0.0499\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0258 - val_loss: 0.0499\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0197 - val_loss: 0.0499\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0269 - val_loss: 0.0499\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0221 - val_loss: 0.0499\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0231 - val_loss: 0.0499\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0264 - val_loss: 0.0499\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0209 - val_loss: 0.0499\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0218 - val_loss: 0.0499\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0236 - val_loss: 0.0499\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0241 - val_loss: 0.0499\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0218 - val_loss: 0.0499\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0288 - val_loss: 0.0499\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0215 - val_loss: 0.0499\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0214 - val_loss: 0.0499\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0200 - val_loss: 0.0499\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0210 - val_loss: 0.0499\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0224 - val_loss: 0.0499\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0229 - val_loss: 0.0499\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0239 - val_loss: 0.0499\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0214 - val_loss: 0.0499\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0289 - val_loss: 0.0499\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0197 - val_loss: 0.0499\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0209 - val_loss: 0.0499\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0258 - val_loss: 0.0499\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0222 - val_loss: 0.0499\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0233 - val_loss: 0.0499\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0274 - val_loss: 0.0499\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0236 - val_loss: 0.0499\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0203 - val_loss: 0.0499\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0251 - val_loss: 0.0499\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0271 - val_loss: 0.0499\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0238 - val_loss: 0.0499\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0251 - val_loss: 0.0499\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0235 - val_loss: 0.0499\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0247 - val_loss: 0.0499\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0193 - val_loss: 0.0499\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0287 - val_loss: 0.0499\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0232 - val_loss: 0.0499\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0186 - val_loss: 0.0499\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0232 - val_loss: 0.0499\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0179 - val_loss: 0.0499\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0298 - val_loss: 0.0499\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0185 - val_loss: 0.0499\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0225 - val_loss: 0.0499\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0300 - val_loss: 0.0499\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0246 - val_loss: 0.0499\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0168 - val_loss: 0.0499\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0242 - val_loss: 0.0499\n", "COL: 比表面积, MSE: 1.83E-01,RMSE: 0.4274,MAPE: 3.84 %,MAE: 0.2752,R_2: 0.4599\n", "COL: 总孔体积, MSE: 1.35E-01,RMSE: 0.368,MAPE: 29.43 %,MAE: 0.251,R_2: 0.582\n", "COL: 微孔体积, MSE: 1.75E-01,RMSE: 0.4187,MAPE: 32.84 %,MAE: 0.2536,R_2: 0.2184\n", "Epoch 1/280\n", "15/15 [==============================] - 6s 86ms/step - loss: 2.5093 - val_loss: 2.2921\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.2438 - val_loss: 2.2513\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.2354 - val_loss: 2.1929\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 2.1850 - val_loss: 2.2179\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.1398 - val_loss: 2.1617\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.1034 - val_loss: 2.1344\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.1028 - val_loss: 2.0470\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.0489 - val_loss: 2.0199\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0085 - val_loss: 2.0242\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9942 - val_loss: 1.9674\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9434 - val_loss: 1.9257\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.9492 - val_loss: 1.8951\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9382 - val_loss: 1.8804\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9204 - val_loss: 1.8696\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.8749 - val_loss: 1.8513\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.8301 - val_loss: 1.7955\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.8124 - val_loss: 1.7826\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.8018 - val_loss: 1.7692\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.7991 - val_loss: 1.7415\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7584 - val_loss: 1.7389\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7315 - val_loss: 1.7086\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.7082 - val_loss: 1.6742\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6990 - val_loss: 1.7330\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7054 - val_loss: 1.6404\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6263 - val_loss: 1.6385\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6006 - val_loss: 1.6112\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.5858 - val_loss: 1.5762\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5689 - val_loss: 1.6333\n", "Epoch 29/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5803 - val_loss: 1.5680\n", "Epoch 30/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5278 - val_loss: 1.5337\n", "Epoch 31/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5164 - val_loss: 1.5049\n", "Epoch 32/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5023 - val_loss: 1.4911\n", "Epoch 33/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4772 - val_loss: 1.4716\n", "Epoch 34/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4323 - val_loss: 1.4509\n", "Epoch 35/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4409 - val_loss: 1.4576\n", "Epoch 36/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4506 - val_loss: 1.4298\n", "Epoch 37/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4344 - val_loss: 1.4233\n", "Epoch 38/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3917 - val_loss: 1.3796\n", "Epoch 39/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3798 - val_loss: 1.3587\n", "Epoch 40/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3458 - val_loss: 1.3256\n", "Epoch 41/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3357 - val_loss: 1.3232\n", "Epoch 42/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.2982 - val_loss: 1.2909\n", "Epoch 43/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2903 - val_loss: 1.2806\n", "Epoch 44/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2797 - val_loss: 1.2819\n", "Epoch 45/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.2652 - val_loss: 1.2418\n", "Epoch 46/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2416 - val_loss: 1.2181\n", "Epoch 47/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.1992 - val_loss: 1.1981\n", "Epoch 48/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1843 - val_loss: 1.1742\n", "Epoch 49/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.1733 - val_loss: 1.1714\n", "Epoch 50/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1635 - val_loss: 1.1432\n", "Epoch 51/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1295 - val_loss: 1.1217\n", "Epoch 52/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1078 - val_loss: 1.0999\n", "Epoch 53/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0884 - val_loss: 1.0842\n", "Epoch 54/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0660 - val_loss: 1.0670\n", "Epoch 55/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0480 - val_loss: 1.0427\n", "Epoch 56/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0226 - val_loss: 1.0279\n", "Epoch 57/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.0134 - val_loss: 1.0064\n", "Epoch 58/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9996 - val_loss: 0.9869\n", "Epoch 59/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9771 - val_loss: 0.9727\n", "Epoch 60/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.9675 - val_loss: 0.9556\n", "Epoch 61/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9433 - val_loss: 0.9389\n", "Epoch 62/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9366 - val_loss: 0.9140\n", "Epoch 63/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9133 - val_loss: 0.9077\n", "Epoch 64/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8954 - val_loss: 0.8816\n", "Epoch 65/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8708 - val_loss: 0.8689\n", "Epoch 66/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8601 - val_loss: 0.8506\n", "Epoch 67/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8415 - val_loss: 0.8326\n", "Epoch 68/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8209 - val_loss: 0.8159\n", "Epoch 69/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8046 - val_loss: 0.8116\n", "Epoch 70/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7990 - val_loss: 0.7809\n", "Epoch 71/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7824 - val_loss: 0.7674\n", "Epoch 72/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7634 - val_loss: 0.7477\n", "Epoch 73/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7432 - val_loss: 0.7355\n", "Epoch 74/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7313 - val_loss: 0.7165\n", "Epoch 75/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7137 - 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loss: 0.0190 - val_loss: 0.0527\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0217 - val_loss: 0.0527\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0176 - val_loss: 0.0527\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0247 - val_loss: 0.0527\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0263 - val_loss: 0.0527\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0187 - val_loss: 0.0527\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0193 - val_loss: 0.0527\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0306 - val_loss: 0.0527\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0202 - val_loss: 0.0527\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0210 - val_loss: 0.0527\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0208 - val_loss: 0.0527\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0225 - val_loss: 0.0527\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0251 - val_loss: 0.0527\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0198 - val_loss: 0.0527\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0251 - val_loss: 0.0527\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0527\n", "COL: 比表面积, MSE: 1.91E-01,RMSE: 0.4372,MAPE: 4.16 %,MAE: 0.289,R_2: 0.5448\n", "COL: 总孔体积, MSE: 8.81E-02,RMSE: 0.2969,MAPE: 25.869999999999997 %,MAE: 0.178,R_2: 0.5039\n", "COL: 微孔体积, MSE: 2.92E-02,RMSE: 0.1709,MAPE: 31.97 %,MAE: 0.1435,R_2: 0.6463\n", "Epoch 1/280\n", "15/15 [==============================] - 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loss: 4.5380 - val_loss: 4.5892\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.5485 - val_loss: 4.5479\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.4834 - val_loss: 4.5093\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 4.4568 - val_loss: 4.5328\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.4267 - val_loss: 4.4700\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.4915 - val_loss: 4.3953\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.4139 - val_loss: 4.3778\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.3356 - val_loss: 4.3524\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.2885 - val_loss: 4.3275\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.2311 - val_loss: 4.2670\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.1935 - val_loss: 4.2596\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.1738 - val_loss: 4.1836\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.1310 - val_loss: 4.1656\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 4.1215 - val_loss: 4.2036\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.0710 - val_loss: 4.1054\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.0426 - val_loss: 4.0336\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.9955 - val_loss: 4.0605\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.9581 - val_loss: 3.9995\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.9062 - val_loss: 3.9595\n", "Epoch 29/280\n", "15/15 [==============================] - 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loss: 3.5974 - val_loss: 3.6234\n", "Epoch 39/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.5549 - val_loss: 3.6106\n", "Epoch 40/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.5219 - val_loss: 3.5373\n", "Epoch 41/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4900 - val_loss: 3.5039\n", "Epoch 42/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.4689 - val_loss: 3.4978\n", "Epoch 43/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4203 - val_loss: 3.4309\n", "Epoch 44/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 3.3841 - val_loss: 3.4069\n", "Epoch 45/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 3.3521 - val_loss: 3.4026\n", "Epoch 46/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.3213 - val_loss: 3.3949\n", "Epoch 47/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.3278 - val_loss: 3.3207\n", "Epoch 48/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.2762 - val_loss: 3.2875\n", "Epoch 49/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.2363 - val_loss: 3.2245\n", "Epoch 50/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.1902 - val_loss: 3.2058\n", "Epoch 51/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.1809 - val_loss: 3.1922\n", "Epoch 52/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.1383 - val_loss: 3.1311\n", "Epoch 53/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.0813 - val_loss: 3.1212\n", "Epoch 54/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.0824 - val_loss: 3.0604\n", "Epoch 55/280\n", "15/15 [==============================] - 0s 17ms/step - loss: 3.0412 - val_loss: 3.0347\n", "Epoch 56/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.0030 - val_loss: 3.0090\n", "Epoch 57/280\n", "15/15 [==============================] - 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loss: 2.6893 - val_loss: 2.6783\n", "Epoch 67/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.6608 - val_loss: 2.6590\n", "Epoch 68/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.6173 - val_loss: 2.6270\n", "Epoch 69/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.6031 - val_loss: 2.5972\n", "Epoch 70/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.5819 - val_loss: 2.5621\n", "Epoch 71/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.5281 - val_loss: 2.5354\n", "Epoch 72/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.4967 - val_loss: 2.4950\n", "Epoch 73/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.4655 - val_loss: 2.4588\n", "Epoch 74/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.4464 - val_loss: 2.4244\n", "Epoch 75/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.4075 - val_loss: 2.3982\n", "Epoch 76/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.3720 - val_loss: 2.3743\n", "Epoch 77/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.3495 - val_loss: 2.3415\n", "Epoch 78/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.2947 - val_loss: 2.2965\n", "Epoch 79/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.2712 - val_loss: 2.2628\n", "Epoch 80/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.2385 - val_loss: 2.2341\n", "Epoch 81/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.2093 - val_loss: 2.2007\n", "Epoch 82/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.1926 - val_loss: 2.1803\n", "Epoch 83/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.1452 - val_loss: 2.1466\n", "Epoch 84/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.1080 - val_loss: 2.1139\n", "Epoch 85/280\n", "15/15 [==============================] - 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loss: 1.7952 - val_loss: 1.7809\n", "Epoch 95/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.7741 - val_loss: 1.7611\n", "Epoch 96/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7307 - val_loss: 1.7357\n", "Epoch 97/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.7168 - val_loss: 1.7038\n", "Epoch 98/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 1.6875 - val_loss: 1.6567\n", "Epoch 99/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.6440 - val_loss: 1.6213\n", "Epoch 100/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6178 - val_loss: 1.5933\n", "Epoch 101/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.5765 - val_loss: 1.5616\n", "Epoch 102/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.5462 - val_loss: 1.5271\n", "Epoch 103/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5152 - val_loss: 1.4967\n", "Epoch 104/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 1.4833 - val_loss: 1.4654\n", "Epoch 105/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.4444 - val_loss: 1.4358\n", "Epoch 106/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4152 - val_loss: 1.4042\n", "Epoch 107/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3893 - val_loss: 1.3689\n", "Epoch 108/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3534 - val_loss: 1.3381\n", "Epoch 109/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3189 - val_loss: 1.3094\n", "Epoch 110/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.2893 - val_loss: 1.2775\n", "Epoch 111/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2663 - val_loss: 1.2617\n", "Epoch 112/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.2497 - val_loss: 1.2412\n", "Epoch 113/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2280 - val_loss: 1.2307\n", "Epoch 114/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2131 - val_loss: 1.2178\n", "Epoch 115/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.1963 - val_loss: 1.2042\n", "Epoch 116/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 1.1870 - val_loss: 1.1858\n", "Epoch 117/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1782 - val_loss: 1.1721\n", "Epoch 118/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 1.1521 - val_loss: 1.1573\n", "Epoch 119/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1387 - val_loss: 1.1391\n", "Epoch 120/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1245 - val_loss: 1.1252\n", "Epoch 121/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1089 - val_loss: 1.1109\n", "Epoch 122/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0948 - val_loss: 1.0973\n", "Epoch 123/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0807 - val_loss: 1.0832\n", "Epoch 124/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0651 - val_loss: 1.0653\n", "Epoch 125/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 1.0550 - val_loss: 1.0520\n", "Epoch 126/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0281 - val_loss: 1.0342\n", "Epoch 127/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 1.0174 - val_loss: 1.0233\n", "Epoch 128/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.0004 - val_loss: 1.0092\n", "Epoch 129/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.9905 - val_loss: 0.9870\n", "Epoch 130/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9755 - val_loss: 0.9740\n", "Epoch 131/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9609 - val_loss: 0.9636\n", "Epoch 132/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9390 - val_loss: 0.9474\n", "Epoch 133/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9285 - val_loss: 0.9306\n", "Epoch 134/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9186 - val_loss: 0.9154\n", "Epoch 135/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.8964 - val_loss: 0.9008\n", "Epoch 136/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8825 - val_loss: 0.8857\n", "Epoch 137/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8665 - val_loss: 0.8731\n", "Epoch 138/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8525 - val_loss: 0.8578\n", "Epoch 139/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8374 - val_loss: 0.8368\n", "Epoch 140/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8190 - val_loss: 0.8262\n", "Epoch 141/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.8082 - val_loss: 0.8144\n", "Epoch 142/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7900 - val_loss: 0.7967\n", "Epoch 143/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.7780 - val_loss: 0.7780\n", "Epoch 144/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7609 - val_loss: 0.7624\n", "Epoch 145/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7445 - val_loss: 0.7526\n", "Epoch 146/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7292 - val_loss: 0.7464\n", "Epoch 147/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7150 - val_loss: 0.7205\n", "Epoch 148/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7076 - val_loss: 0.7118\n", "Epoch 149/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6928 - val_loss: 0.6972\n", "Epoch 150/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6731 - val_loss: 0.6844\n", "Epoch 151/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6611 - val_loss: 0.6654\n", "Epoch 152/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6423 - val_loss: 0.6477\n", "Epoch 153/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6313 - val_loss: 0.6356\n", "Epoch 154/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6113 - val_loss: 0.6156\n", "Epoch 155/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5967 - val_loss: 0.6031\n", "Epoch 156/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5812 - val_loss: 0.5875\n", "Epoch 157/280\n", "15/15 [==============================] - 0s 13ms/step - 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loss: 0.4318 - val_loss: 0.4370\n", "Epoch 167/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.4136 - val_loss: 0.4334\n", "Epoch 168/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4057 - val_loss: 0.4085\n", "Epoch 169/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.3844 - val_loss: 0.3921\n", "Epoch 170/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3693 - val_loss: 0.3802\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.3657 - val_loss: 0.3635\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.3474 - val_loss: 0.3528\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.3396 - val_loss: 0.3365\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3189 - val_loss: 0.3179\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.3041 - val_loss: 0.3039\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2797 - val_loss: 0.2888\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2678 - val_loss: 0.2714\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2664 - val_loss: 0.2648\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2430 - val_loss: 0.2442\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2275 - val_loss: 0.2299\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.2174 - val_loss: 0.2133\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1952 - val_loss: 0.2043\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1787 - val_loss: 0.1842\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1641 - val_loss: 0.1706\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1502 - val_loss: 0.1541\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1363 - val_loss: 0.1366\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1143 - val_loss: 0.1261\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1053 - val_loss: 0.1179\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0897 - val_loss: 0.0969\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0726 - val_loss: 0.0757\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0586 - val_loss: 0.0688\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0413 - val_loss: 0.0489\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0226 - val_loss: 0.0385\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0218 - val_loss: 0.0374\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0215 - val_loss: 0.0381\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0220 - val_loss: 0.0407\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0204 - val_loss: 0.0405\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0247 - val_loss: 0.0350\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0282 - val_loss: 0.0399\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0259 - val_loss: 0.0431\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0234 - val_loss: 0.0397\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0250 - val_loss: 0.0377\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0201 - val_loss: 0.0354\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0173 - val_loss: 0.0355\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0168 - val_loss: 0.0316\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0230 - val_loss: 0.0378\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0201 - val_loss: 0.0337\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0242 - val_loss: 0.0377\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0264 - val_loss: 0.0426\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0219 - val_loss: 0.0451\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0159 - val_loss: 0.0412\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0215 - val_loss: 0.0425\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0189 - val_loss: 0.0359\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0226 - val_loss: 0.0429\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0378\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0164 - val_loss: 0.0386\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0158 - val_loss: 0.0387\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0134 - val_loss: 0.0384\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0206 - val_loss: 0.0378\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0224 - val_loss: 0.0372\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0166 - val_loss: 0.0369\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0152 - val_loss: 0.0373\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0160 - val_loss: 0.0372\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0166 - val_loss: 0.0374\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0148 - val_loss: 0.0366\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0185 - val_loss: 0.0366\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0185 - val_loss: 0.0367\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0177 - val_loss: 0.0368\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0134 - val_loss: 0.0368\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0141 - val_loss: 0.0368\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0135 - val_loss: 0.0366\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0364\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0112 - val_loss: 0.0363\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0163 - val_loss: 0.0363\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0252 - val_loss: 0.0364\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0226 - val_loss: 0.0364\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0172 - val_loss: 0.0364\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0144 - val_loss: 0.0364\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0177 - val_loss: 0.0364\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0237 - val_loss: 0.0364\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0171 - val_loss: 0.0365\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0147 - val_loss: 0.0365\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0167 - val_loss: 0.0365\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0170 - val_loss: 0.0365\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0189 - val_loss: 0.0365\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0187 - val_loss: 0.0365\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0184 - val_loss: 0.0365\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0150 - val_loss: 0.0365\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0166 - val_loss: 0.0365\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0187 - val_loss: 0.0365\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0175 - val_loss: 0.0365\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0137 - val_loss: 0.0365\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0140 - val_loss: 0.0365\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0113 - val_loss: 0.0365\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0109 - val_loss: 0.0365\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0156 - val_loss: 0.0365\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0124 - val_loss: 0.0365\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0168 - val_loss: 0.0365\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0123 - val_loss: 0.0365\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0155 - val_loss: 0.0365\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0173 - val_loss: 0.0365\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0136 - val_loss: 0.0365\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0206 - val_loss: 0.0365\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0170 - val_loss: 0.0365\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0136 - val_loss: 0.0365\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0135 - val_loss: 0.0365\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0171 - val_loss: 0.0365\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0156 - val_loss: 0.0365\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0186 - val_loss: 0.0365\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0173 - val_loss: 0.0365\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0169 - val_loss: 0.0365\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0205 - val_loss: 0.0365\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0149 - val_loss: 0.0365\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0140 - val_loss: 0.0365\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0142 - val_loss: 0.0365\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0143 - val_loss: 0.0365\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0138 - val_loss: 0.0365\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0150 - val_loss: 0.0365\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0192 - val_loss: 0.0365\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0226 - val_loss: 0.0365\n", "COL: 比表面积, MSE: 2.48E-01,RMSE: 0.4978,MAPE: 4.0 %,MAE: 0.302,R_2: 0.2379\n", "COL: 总孔体积, MSE: 3.02E-01,RMSE: 0.5491,MAPE: 28.02 %,MAE: 0.3058,R_2: 0.1327\n", "COL: 微孔体积, MSE: 2.86E-02,RMSE: 0.169,MAPE: 28.199999999999996 %,MAE: 0.119,R_2: 0.7352\n", "Epoch 1/280\n", "15/15 [==============================] - 6s 92ms/step - loss: 3.8534 - val_loss: 3.7567\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.6472 - val_loss: 3.6221\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4827 - val_loss: 3.5718\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4439 - val_loss: 3.7812\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4902 - val_loss: 3.4990\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4199 - val_loss: 3.5033\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.3520 - val_loss: 3.4131\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.2274 - val_loss: 3.4744\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.3141 - val_loss: 3.3652\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.2422 - val_loss: 3.3192\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.1901 - val_loss: 3.2861\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.1546 - val_loss: 3.2805\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 8ms/step - loss: 3.1568 - val_loss: 3.1997\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.0975 - val_loss: 3.1395\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.0909 - val_loss: 3.1347\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.0395 - val_loss: 3.0548\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.0171 - val_loss: 3.0526\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.8964 - val_loss: 3.0192\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.9154 - val_loss: 3.0198\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.8078 - val_loss: 2.9941\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.7513 - val_loss: 2.9358\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.8136 - val_loss: 2.8785\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.8047 - val_loss: 2.8693\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.7416 - val_loss: 2.8484\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.6788 - val_loss: 2.8676\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.6403 - val_loss: 2.7848\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 2.5648 - val_loss: 2.6941\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.5826 - val_loss: 2.6609\n", "Epoch 29/280\n", "15/15 [==============================] - 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loss: 2.2431 - val_loss: 2.3579\n", "Epoch 39/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.2053 - val_loss: 2.2751\n", "Epoch 40/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.2433 - val_loss: 2.2323\n", "Epoch 41/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.0799 - val_loss: 2.2380\n", "Epoch 42/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 2.1074 - val_loss: 2.2114\n", "Epoch 43/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0792 - val_loss: 2.1425\n", "Epoch 44/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0379 - val_loss: 2.0959\n", "Epoch 45/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0600 - val_loss: 2.0612\n", "Epoch 46/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9412 - val_loss: 2.0333\n", "Epoch 47/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.9411 - 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loss: 0.1789 - val_loss: 0.2142\n", "Epoch 131/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1547 - val_loss: 0.2143\n", "Epoch 132/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1717 - val_loss: 0.1890\n", "Epoch 133/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1656 - val_loss: 0.1934\n", "Epoch 134/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1378 - val_loss: 0.1874\n", "Epoch 135/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1595 - val_loss: 0.1803\n", "Epoch 136/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.1520 - val_loss: 0.1690\n", "Epoch 137/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1372 - val_loss: 0.1707\n", "Epoch 138/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1398 - val_loss: 0.1716\n", "Epoch 139/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1318 - val_loss: 0.1650\n", "Epoch 140/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1382 - val_loss: 0.1633\n", "Epoch 141/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.1195 - val_loss: 0.1586\n", "Epoch 142/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1226 - val_loss: 0.1533\n", "Epoch 143/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1163 - val_loss: 0.1529\n", "Epoch 144/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1119 - val_loss: 0.1457\n", "Epoch 145/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1016 - val_loss: 0.1407\n", "Epoch 146/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1107 - val_loss: 0.1242\n", "Epoch 147/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1032 - val_loss: 0.1262\n", "Epoch 148/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0993 - val_loss: 0.1167\n", "Epoch 149/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0960 - val_loss: 0.1096\n", "Epoch 150/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0914 - val_loss: 0.1052\n", "Epoch 151/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1001 - val_loss: 0.1168\n", "Epoch 152/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.1094 - val_loss: 0.1104\n", "Epoch 153/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1035 - val_loss: 0.0997\n", "Epoch 154/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.1001 - val_loss: 0.0935\n", "Epoch 155/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0838 - val_loss: 0.0931\n", "Epoch 156/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0794 - val_loss: 0.0897\n", "Epoch 157/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0782 - val_loss: 0.0855\n", "Epoch 158/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0685 - val_loss: 0.0867\n", "Epoch 159/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0778 - val_loss: 0.0852\n", "Epoch 160/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0702 - val_loss: 0.0724\n", "Epoch 161/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0626 - val_loss: 0.0764\n", "Epoch 162/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0671 - val_loss: 0.0755\n", "Epoch 163/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0522 - val_loss: 0.0720\n", "Epoch 164/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0624 - val_loss: 0.0724\n", "Epoch 165/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0587 - val_loss: 0.0723\n", "Epoch 166/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0588 - val_loss: 0.0745\n", "Epoch 167/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0559 - val_loss: 0.0627\n", "Epoch 168/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0501 - val_loss: 0.0605\n", "Epoch 169/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0459 - val_loss: 0.0581\n", "Epoch 170/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0480 - val_loss: 0.0530\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0467 - val_loss: 0.0543\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0437 - val_loss: 0.0489\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0441 - val_loss: 0.0496\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0452 - val_loss: 0.0614\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0494 - val_loss: 0.0520\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0361 - val_loss: 0.0529\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0324 - val_loss: 0.0539\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0284 - val_loss: 0.0513\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0346 - val_loss: 0.0491\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0309 - val_loss: 0.0530\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0288 - val_loss: 0.0473\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0304 - val_loss: 0.0479\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0412 - val_loss: 0.0524\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0367 - val_loss: 0.0464\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0316 - val_loss: 0.0448\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0311 - val_loss: 0.0472\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0261 - val_loss: 0.0464\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0293 - val_loss: 0.0466\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0283 - val_loss: 0.0493\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0291 - val_loss: 0.0475\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0278 - val_loss: 0.0446\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0341 - val_loss: 0.0459\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0325 - val_loss: 0.0448\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0351 - val_loss: 0.0464\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0269 - val_loss: 0.0424\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0315 - val_loss: 0.0465\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0274 - val_loss: 0.0448\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0304 - val_loss: 0.0428\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0313 - val_loss: 0.0495\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0304 - val_loss: 0.0429\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0332 - val_loss: 0.0407\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0270 - val_loss: 0.0431\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0314 - val_loss: 0.0446\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0255 - val_loss: 0.0421\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0318 - val_loss: 0.0435\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0239 - val_loss: 0.0471\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0309 - val_loss: 0.0431\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0248 - val_loss: 0.0367\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0233 - val_loss: 0.0426\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0265 - val_loss: 0.0549\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0372 - val_loss: 0.0536\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0376 - val_loss: 0.0454\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0275 - val_loss: 0.0472\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0253 - val_loss: 0.0424\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0278 - val_loss: 0.0386\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0353 - val_loss: 0.0409\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0335 - val_loss: 0.0425\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0253 - val_loss: 0.0384\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0238 - val_loss: 0.0379\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0278 - val_loss: 0.0385\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0204 - val_loss: 0.0389\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0229 - val_loss: 0.0386\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0260 - val_loss: 0.0388\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0219 - val_loss: 0.0376\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0196 - val_loss: 0.0382\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0313 - val_loss: 0.0377\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0201 - val_loss: 0.0376\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0221 - val_loss: 0.0369\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0185 - val_loss: 0.0368\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0201 - val_loss: 0.0368\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0226 - val_loss: 0.0368\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0247 - val_loss: 0.0368\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0191 - val_loss: 0.0368\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0227 - val_loss: 0.0368\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0183 - val_loss: 0.0369\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0235 - val_loss: 0.0369\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0248 - val_loss: 0.0369\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0240 - val_loss: 0.0369\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0195 - val_loss: 0.0369\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0215 - val_loss: 0.0369\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0206 - val_loss: 0.0369\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0274 - val_loss: 0.0368\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0220 - val_loss: 0.0368\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0242 - val_loss: 0.0368\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0250 - val_loss: 0.0368\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0191 - val_loss: 0.0368\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0216 - val_loss: 0.0368\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0205 - val_loss: 0.0368\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0254 - val_loss: 0.0368\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0183 - val_loss: 0.0368\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0198 - val_loss: 0.0368\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0203 - val_loss: 0.0368\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0212 - val_loss: 0.0368\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0188 - val_loss: 0.0368\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0183 - val_loss: 0.0368\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0197 - val_loss: 0.0368\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0229 - val_loss: 0.0368\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0215 - val_loss: 0.0368\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0224 - val_loss: 0.0368\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0196 - val_loss: 0.0368\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0258 - val_loss: 0.0368\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0253 - val_loss: 0.0368\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0189 - val_loss: 0.0368\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0204 - val_loss: 0.0368\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0193 - val_loss: 0.0368\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0260 - val_loss: 0.0368\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0236 - val_loss: 0.0368\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0368\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0253 - val_loss: 0.0368\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0241 - val_loss: 0.0368\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0175 - val_loss: 0.0368\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0186 - val_loss: 0.0368\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0171 - val_loss: 0.0368\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0283 - val_loss: 0.0368\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0202 - val_loss: 0.0368\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0186 - val_loss: 0.0368\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0236 - val_loss: 0.0368\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0258 - val_loss: 0.0368\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0231 - val_loss: 0.0368\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0195 - val_loss: 0.0368\n", "WARNING:tensorflow:5 out of the last 5 calls to .predict_function at 0x7f925acbf710> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n", "COL: 比表面积, MSE: 4.64E-02,RMSE: 0.2154,MAPE: 1.9900000000000002 %,MAE: 0.1412,R_2: 0.8076\n", "COL: 总孔体积, MSE: 7.08E-02,RMSE: 0.2661,MAPE: 26.39 %,MAE: 0.2135,R_2: 0.7685\n", "COL: 微孔体积, MSE: 6.68E-02,RMSE: 0.2585,MAPE: 32.42 %,MAE: 0.1907,R_2: 0.5484\n", "Epoch 1/280\n", "15/15 [==============================] - 6s 129ms/step - loss: 4.2350 - val_loss: 4.1776\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.1771 - val_loss: 4.1449\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.1223 - val_loss: 4.1071\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 4.0915 - val_loss: 4.0765\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.0640 - val_loss: 4.0501\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 4.0344 - val_loss: 4.0214\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.9994 - val_loss: 3.9829\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.9724 - val_loss: 3.9461\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.9340 - val_loss: 3.9392\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.9182 - val_loss: 3.8950\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.8824 - val_loss: 3.8600\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.8552 - val_loss: 3.8238\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.8206 - val_loss: 3.8020\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.7942 - val_loss: 3.7723\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.7578 - val_loss: 3.7352\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.7251 - val_loss: 3.7036\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.6941 - val_loss: 3.6750\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.6685 - val_loss: 3.6430\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.6334 - val_loss: 3.6137\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.6061 - val_loss: 3.5869\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.5691 - val_loss: 3.5518\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 3.5421 - val_loss: 3.5220\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.5133 - val_loss: 3.4925\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4835 - val_loss: 3.4649\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4501 - val_loss: 3.4398\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.4284 - val_loss: 3.4076\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 3.3958 - val_loss: 3.3724\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.3619 - val_loss: 3.3404\n", "Epoch 29/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.3317 - val_loss: 3.3143\n", "Epoch 30/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 3.3014 - val_loss: 3.2824\n", "Epoch 31/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.2694 - val_loss: 3.2526\n", "Epoch 32/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.2441 - val_loss: 3.2212\n", "Epoch 33/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 3.2127 - val_loss: 3.1935\n", "Epoch 34/280\n", "15/15 [==============================] - 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loss: 2.9167 - val_loss: 2.8959\n", "Epoch 44/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.8854 - val_loss: 2.8698\n", "Epoch 45/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.8597 - val_loss: 2.8404\n", "Epoch 46/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.8206 - val_loss: 2.8021\n", "Epoch 47/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.7924 - val_loss: 2.7780\n", "Epoch 48/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.7626 - val_loss: 2.7478\n", "Epoch 49/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.7273 - val_loss: 2.7211\n", "Epoch 50/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.7038 - val_loss: 2.6861\n", "Epoch 51/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.6716 - val_loss: 2.6589\n", "Epoch 52/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.6406 - 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loss: 0.3752 - val_loss: 0.3833\n", "Epoch 163/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3610 - val_loss: 0.3686\n", "Epoch 164/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.3427 - val_loss: 0.3496\n", "Epoch 165/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3290 - val_loss: 0.3453\n", "Epoch 166/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3412 - val_loss: 0.3276\n", "Epoch 167/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3087 - val_loss: 0.3055\n", "Epoch 168/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.2839 - val_loss: 0.2904\n", "Epoch 169/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2721 - val_loss: 0.2758\n", "Epoch 170/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2592 - val_loss: 0.2670\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.2400 - val_loss: 0.2452\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2272 - val_loss: 0.2401\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2209 - val_loss: 0.2176\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1969 - val_loss: 0.2003\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1867 - val_loss: 0.1853\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1629 - val_loss: 0.1700\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1446 - val_loss: 0.1559\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1336 - val_loss: 0.1466\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1169 - val_loss: 0.1309\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1060 - val_loss: 0.1130\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0892 - val_loss: 0.0973\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0694 - val_loss: 0.0806\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0578 - val_loss: 0.0643\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0404 - val_loss: 0.0528\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0270 - val_loss: 0.0374\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0134 - val_loss: 0.0347\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0132 - val_loss: 0.0325\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0187 - val_loss: 0.0332\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0169 - val_loss: 0.0343\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0133 - val_loss: 0.0459\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0305 - val_loss: 0.0773\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0200 - val_loss: 0.0612\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0294 - val_loss: 0.0348\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0231 - val_loss: 0.0497\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0195 - val_loss: 0.0454\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0371 - val_loss: 0.0446\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0216 - val_loss: 0.0415\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0225 - val_loss: 0.0405\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0152 - val_loss: 0.0390\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0155 - val_loss: 0.0367\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0162 - val_loss: 0.0360\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0129 - val_loss: 0.0349\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0184 - val_loss: 0.0343\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0135 - val_loss: 0.0340\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0131 - val_loss: 0.0343\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0167 - val_loss: 0.0342\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0155 - val_loss: 0.0340\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0137 - val_loss: 0.0340\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0119 - val_loss: 0.0340\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0144 - val_loss: 0.0340\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0110 - val_loss: 0.0340\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0130 - val_loss: 0.0340\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0127 - val_loss: 0.0339\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0172 - val_loss: 0.0339\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0154 - val_loss: 0.0338\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0120 - val_loss: 0.0338\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0142 - val_loss: 0.0338\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0113 - val_loss: 0.0338\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0141 - val_loss: 0.0338\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0116 - val_loss: 0.0338\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0134 - val_loss: 0.0337\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0124 - val_loss: 0.0337\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0112 - val_loss: 0.0337\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0145 - val_loss: 0.0337\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0119 - val_loss: 0.0337\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0190 - val_loss: 0.0337\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0103 - val_loss: 0.0337\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0172 - val_loss: 0.0337\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0117 - val_loss: 0.0337\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0144 - val_loss: 0.0337\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0116 - val_loss: 0.0337\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0111 - val_loss: 0.0337\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0120 - val_loss: 0.0337\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0150 - val_loss: 0.0337\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0148 - val_loss: 0.0337\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0152 - val_loss: 0.0337\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0128 - val_loss: 0.0337\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0124 - val_loss: 0.0337\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0141 - val_loss: 0.0337\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0111 - val_loss: 0.0337\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0129 - val_loss: 0.0337\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0121 - val_loss: 0.0337\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0120 - val_loss: 0.0337\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0118 - val_loss: 0.0337\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0101 - val_loss: 0.0337\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0130 - val_loss: 0.0337\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0120 - val_loss: 0.0337\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0111 - val_loss: 0.0337\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0111 - val_loss: 0.0337\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0124 - val_loss: 0.0337\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0126 - val_loss: 0.0337\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0129 - val_loss: 0.0337\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0121 - val_loss: 0.0337\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0113 - val_loss: 0.0337\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0118 - val_loss: 0.0337\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0116 - val_loss: 0.0337\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0133 - val_loss: 0.0337\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0114 - val_loss: 0.0337\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0149 - val_loss: 0.0337\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0120 - val_loss: 0.0337\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0107 - val_loss: 0.0337\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0118 - val_loss: 0.0337\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0135 - val_loss: 0.0337\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0143 - val_loss: 0.0337\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0160 - val_loss: 0.0337\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0105 - val_loss: 0.0337\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0144 - val_loss: 0.0337\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0124 - val_loss: 0.0337\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0129 - val_loss: 0.0337\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0105 - val_loss: 0.0337\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0134 - val_loss: 0.0337\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0124 - val_loss: 0.0337\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0139 - val_loss: 0.0337\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0141 - val_loss: 0.0337\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0116 - val_loss: 0.0337\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0142 - val_loss: 0.0337\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0114 - val_loss: 0.0337\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0124 - val_loss: 0.0337\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0151 - val_loss: 0.0337\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0130 - val_loss: 0.0337\n", "WARNING:tensorflow:6 out of the last 6 calls to .predict_function at 0x7f925b0ad5f0> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has experimental_relax_shapes=True option that relaxes argument shapes that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n", "COL: 比表面积, MSE: 5.17E-01,RMSE: 0.7191,MAPE: 6.8500000000000005 %,MAE: 0.4346,R_2: -0.097\n", "COL: 总孔体积, MSE: 4.80E-02,RMSE: 0.2191,MAPE: 26.93 %,MAE: 0.1605,R_2: 0.7029\n", "COL: 微孔体积, MSE: 2.84E-02,RMSE: 0.1685,MAPE: 25.85 %,MAE: 0.1176,R_2: -0.2583\n", "Epoch 1/280\n", "15/15 [==============================] - 6s 93ms/step - loss: 2.8437 - val_loss: 2.7256\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.2702 - val_loss: 2.2922\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.1285 - val_loss: 2.2275\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0685 - val_loss: 2.2036\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 2.1385 - val_loss: 2.1282\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.2805 - val_loss: 2.0756\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 2.0905 - val_loss: 2.0699\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9892 - val_loss: 1.9419\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.9954 - val_loss: 1.9155\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9310 - val_loss: 1.9522\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 1.8701 - val_loss: 1.7135\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7483 - val_loss: 1.7967\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.8521 - val_loss: 1.7321\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.9484 - val_loss: 1.6460\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6651 - val_loss: 1.5944\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7173 - val_loss: 1.7414\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7019 - val_loss: 1.6067\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5441 - val_loss: 1.4960\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 1.6313 - val_loss: 1.5536\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 1.5156 - val_loss: 1.5032\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3779 - val_loss: 1.4505\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3311 - val_loss: 1.5608\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3291 - val_loss: 1.4962\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6878 - val_loss: 1.5311\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.4834 - val_loss: 1.6844\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.5190 - val_loss: 1.4949\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4538 - val_loss: 1.5663\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3375 - val_loss: 1.4548\n", "Epoch 29/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2507 - val_loss: 1.3878\n", "Epoch 30/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3738 - val_loss: 1.5167\n", "Epoch 31/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4214 - val_loss: 1.3964\n", "Epoch 32/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3014 - val_loss: 1.3950\n", "Epoch 33/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.4419 - val_loss: 1.4415\n", "Epoch 34/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 1.3593 - val_loss: 1.5711\n", "Epoch 35/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.5495 - val_loss: 1.3657\n", "Epoch 36/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4482 - val_loss: 1.3499\n", "Epoch 37/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1884 - val_loss: 1.3848\n", "Epoch 38/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.2024 - val_loss: 1.3474\n", "Epoch 39/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2285 - val_loss: 1.3377\n", "Epoch 40/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1912 - val_loss: 1.2759\n", "Epoch 41/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1634 - val_loss: 1.2572\n", "Epoch 42/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.1176 - val_loss: 1.2016\n", "Epoch 43/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1759 - val_loss: 1.2444\n", "Epoch 44/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.2093 - val_loss: 1.1987\n", "Epoch 45/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.1634 - val_loss: 1.2866\n", "Epoch 46/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1392 - val_loss: 1.2245\n", "Epoch 47/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 1.1493 - val_loss: 1.1568\n", "Epoch 48/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1597 - val_loss: 1.2035\n", "Epoch 49/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1228 - val_loss: 1.1142\n", "Epoch 50/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0477 - val_loss: 1.1329\n", "Epoch 51/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0531 - val_loss: 1.1023\n", "Epoch 52/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0341 - val_loss: 1.1485\n", "Epoch 53/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0826 - val_loss: 1.1135\n", "Epoch 54/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0008 - val_loss: 1.1561\n", "Epoch 55/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9532 - val_loss: 1.1634\n", "Epoch 56/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 1.1328 - val_loss: 1.1310\n", "Epoch 57/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1301 - val_loss: 1.0378\n", "Epoch 58/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9525 - val_loss: 0.9811\n", "Epoch 59/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9580 - val_loss: 1.0715\n", "Epoch 60/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.9260 - val_loss: 1.0331\n", "Epoch 61/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9992 - val_loss: 1.0986\n", "Epoch 62/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9204 - val_loss: 0.9960\n", "Epoch 63/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8821 - val_loss: 0.9305\n", "Epoch 64/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.8649 - val_loss: 1.1025\n", "Epoch 65/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9599 - val_loss: 1.0614\n", "Epoch 66/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.8632 - val_loss: 1.0509\n", "Epoch 67/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.9691 - val_loss: 1.1349\n", "Epoch 68/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9685 - val_loss: 0.9593\n", "Epoch 69/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8677 - val_loss: 1.1233\n", "Epoch 70/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8588 - val_loss: 0.9489\n", "Epoch 71/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.9050 - val_loss: 0.9777\n", "Epoch 72/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8488 - val_loss: 1.0039\n", "Epoch 73/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7910 - val_loss: 1.1226\n", "Epoch 74/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9317 - val_loss: 1.1152\n", "Epoch 75/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.8711 - val_loss: 1.0150\n", "Epoch 76/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8256 - val_loss: 0.9442\n", "Epoch 77/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.7474 - val_loss: 0.9368\n", "Epoch 78/280\n", "15/15 [==============================] - 1s 45ms/step - loss: 0.8441 - val_loss: 0.9155\n", "Epoch 79/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8362 - val_loss: 0.9105\n", "Epoch 80/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6999 - val_loss: 0.8841\n", "Epoch 81/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8195 - val_loss: 0.8843\n", "Epoch 82/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9369 - val_loss: 0.8868\n", "Epoch 83/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7068 - val_loss: 0.8889\n", "Epoch 84/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8259 - val_loss: 0.8968\n", "Epoch 85/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7408 - val_loss: 0.8902\n", "Epoch 86/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.7861 - val_loss: 0.8727\n", "Epoch 87/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7262 - val_loss: 0.8774\n", "Epoch 88/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7490 - val_loss: 0.8948\n", "Epoch 89/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6618 - val_loss: 0.9126\n", "Epoch 90/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7437 - val_loss: 0.9090\n", "Epoch 91/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7419 - val_loss: 0.8906\n", "Epoch 92/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7467 - val_loss: 0.8905\n", "Epoch 93/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7137 - val_loss: 0.8789\n", "Epoch 94/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7013 - val_loss: 0.8966\n", "Epoch 95/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.7207 - val_loss: 0.8925\n", "Epoch 96/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7286 - val_loss: 0.8800\n", "Epoch 97/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.7276 - val_loss: 0.8799\n", "Epoch 98/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7898 - val_loss: 0.8788\n", "Epoch 99/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6746 - val_loss: 0.8754\n", "Epoch 100/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7684 - val_loss: 0.8749\n", "Epoch 101/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7802 - val_loss: 0.8750\n", "Epoch 102/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8266 - val_loss: 0.8737\n", "Epoch 103/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7013 - val_loss: 0.8763\n", "Epoch 104/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7689 - val_loss: 0.8773\n", "Epoch 105/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.6588 - val_loss: 0.8778\n", "Epoch 106/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7105 - val_loss: 0.8786\n", "Epoch 107/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7149 - val_loss: 0.8787\n", "Epoch 108/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7227 - val_loss: 0.8786\n", "Epoch 109/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8082 - val_loss: 0.8787\n", "Epoch 110/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6884 - val_loss: 0.8787\n", "Epoch 111/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7927 - val_loss: 0.8786\n", "Epoch 112/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7040 - val_loss: 0.8788\n", "Epoch 113/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8264 - val_loss: 0.8789\n", "Epoch 114/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7923 - val_loss: 0.8789\n", "Epoch 115/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7125 - val_loss: 0.8791\n", "Epoch 116/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7218 - val_loss: 0.8791\n", "Epoch 117/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8000 - val_loss: 0.8791\n", "Epoch 118/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7109 - val_loss: 0.8791\n", "Epoch 119/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.7337 - val_loss: 0.8791\n", "Epoch 120/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7503 - val_loss: 0.8792\n", "Epoch 121/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7335 - val_loss: 0.8791\n", "Epoch 122/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7336 - val_loss: 0.8792\n", "Epoch 123/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6997 - val_loss: 0.8792\n", "Epoch 124/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7372 - val_loss: 0.8792\n", "Epoch 125/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7741 - val_loss: 0.8792\n", "Epoch 126/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7265 - val_loss: 0.8792\n", "Epoch 127/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7360 - val_loss: 0.8792\n", "Epoch 128/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6817 - val_loss: 0.8792\n", "Epoch 129/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7266 - val_loss: 0.8792\n", "Epoch 130/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.7865 - val_loss: 0.8792\n", "Epoch 131/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7684 - val_loss: 0.8791\n", "Epoch 132/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6881 - val_loss: 0.8791\n", "Epoch 133/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7407 - val_loss: 0.8791\n", "Epoch 134/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6522 - val_loss: 0.8791\n", "Epoch 135/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7314 - val_loss: 0.8791\n", "Epoch 136/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7476 - val_loss: 0.8792\n", "Epoch 137/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7464 - val_loss: 0.8792\n", "Epoch 138/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6859 - val_loss: 0.8792\n", "Epoch 139/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7779 - val_loss: 0.8792\n", "Epoch 140/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6772 - val_loss: 0.8792\n", "Epoch 141/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8044 - val_loss: 0.8792\n", "Epoch 142/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7219 - val_loss: 0.8792\n", "Epoch 143/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.6646 - val_loss: 0.8792\n", "Epoch 144/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7779 - val_loss: 0.8792\n", "Epoch 145/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.6820 - val_loss: 0.8792\n", "Epoch 146/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7926 - val_loss: 0.8792\n", "Epoch 147/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7444 - val_loss: 0.8792\n", "Epoch 148/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6365 - val_loss: 0.8792\n", "Epoch 149/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6924 - val_loss: 0.8792\n", "Epoch 150/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7474 - val_loss: 0.8792\n", "Epoch 151/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7185 - val_loss: 0.8792\n", "Epoch 152/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7213 - val_loss: 0.8792\n", "Epoch 153/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6504 - val_loss: 0.8792\n", "Epoch 154/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7632 - val_loss: 0.8792\n", "Epoch 155/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7266 - val_loss: 0.8792\n", "Epoch 156/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7428 - val_loss: 0.8792\n", "Epoch 157/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6903 - val_loss: 0.8792\n", "Epoch 158/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7046 - val_loss: 0.8792\n", "Epoch 159/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.7896 - val_loss: 0.8792\n", "Epoch 160/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7370 - val_loss: 0.8792\n", "Epoch 161/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7506 - val_loss: 0.8792\n", "Epoch 162/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8063 - val_loss: 0.8792\n", "Epoch 163/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.6800 - val_loss: 0.8792\n", "Epoch 164/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7201 - val_loss: 0.8792\n", "Epoch 165/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8093 - val_loss: 0.8792\n", "Epoch 166/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7165 - val_loss: 0.8792\n", "Epoch 167/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.7439 - val_loss: 0.8792\n", "Epoch 168/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7300 - val_loss: 0.8792\n", "Epoch 169/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7328 - val_loss: 0.8792\n", "Epoch 170/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7744 - val_loss: 0.8792\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7365 - val_loss: 0.8792\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7826 - val_loss: 0.8792\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7927 - val_loss: 0.8792\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7579 - val_loss: 0.8792\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6731 - val_loss: 0.8792\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6909 - val_loss: 0.8792\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8066 - val_loss: 0.8792\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.7066 - val_loss: 0.8792\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7584 - val_loss: 0.8792\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.8062 - val_loss: 0.8792\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7403 - val_loss: 0.8792\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7637 - val_loss: 0.8792\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6912 - val_loss: 0.8792\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8562 - val_loss: 0.8792\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.6582 - val_loss: 0.8792\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7655 - val_loss: 0.8792\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7286 - val_loss: 0.8792\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6811 - val_loss: 0.8792\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7644 - val_loss: 0.8792\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7392 - val_loss: 0.8792\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7449 - val_loss: 0.8792\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7034 - val_loss: 0.8792\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7862 - val_loss: 0.8792\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6387 - val_loss: 0.8792\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6400 - val_loss: 0.8792\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7576 - val_loss: 0.8792\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7338 - val_loss: 0.8792\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7033 - val_loss: 0.8792\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7311 - val_loss: 0.8792\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6497 - val_loss: 0.8792\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6690 - val_loss: 0.8792\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7215 - val_loss: 0.8792\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6935 - val_loss: 0.8792\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7524 - val_loss: 0.8792\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7540 - val_loss: 0.8792\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.7667 - val_loss: 0.8792\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7282 - val_loss: 0.8792\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.6796 - val_loss: 0.8792\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7949 - val_loss: 0.8792\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7585 - val_loss: 0.8792\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6325 - val_loss: 0.8792\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7478 - val_loss: 0.8792\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8418 - val_loss: 0.8792\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7796 - val_loss: 0.8792\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6865 - val_loss: 0.8792\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7084 - val_loss: 0.8792\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7607 - val_loss: 0.8792\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7437 - val_loss: 0.8792\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7961 - val_loss: 0.8792\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7305 - val_loss: 0.8792\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.7307 - val_loss: 0.8792\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7287 - val_loss: 0.8792\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.7232 - val_loss: 0.8792\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7253 - val_loss: 0.8792\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7278 - val_loss: 0.8792\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7520 - val_loss: 0.8792\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7960 - val_loss: 0.8792\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6855 - val_loss: 0.8792\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6357 - val_loss: 0.8792\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.7140 - val_loss: 0.8792\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7365 - val_loss: 0.8792\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7653 - val_loss: 0.8792\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7424 - val_loss: 0.8792\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7894 - val_loss: 0.8792\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7743 - val_loss: 0.8792\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7000 - val_loss: 0.8792\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8851 - val_loss: 0.8792\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7107 - val_loss: 0.8792\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6897 - val_loss: 0.8792\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.6979 - val_loss: 0.8792\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7000 - val_loss: 0.8792\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7234 - val_loss: 0.8792\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.8380 - val_loss: 0.8792\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7250 - val_loss: 0.8792\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8193 - val_loss: 0.8792\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8497 - val_loss: 0.8792\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6870 - val_loss: 0.8792\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7090 - val_loss: 0.8792\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6365 - val_loss: 0.8792\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6939 - val_loss: 0.8792\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8079 - val_loss: 0.8792\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6614 - val_loss: 0.8792\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7441 - val_loss: 0.8792\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6896 - val_loss: 0.8792\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7967 - val_loss: 0.8792\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7492 - val_loss: 0.8792\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7201 - val_loss: 0.8792\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6958 - val_loss: 0.8792\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7668 - val_loss: 0.8792\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6800 - val_loss: 0.8792\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6966 - val_loss: 0.8792\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7082 - val_loss: 0.8792\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6733 - val_loss: 0.8792\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7413 - val_loss: 0.8792\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6969 - val_loss: 0.8792\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7081 - val_loss: 0.8792\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6802 - val_loss: 0.8792\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8230 - val_loss: 0.8792\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7199 - val_loss: 0.8792\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7807 - val_loss: 0.8792\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6880 - val_loss: 0.8792\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7277 - val_loss: 0.8792\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6574 - val_loss: 0.8792\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7361 - val_loss: 0.8792\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7203 - val_loss: 0.8792\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6350 - val_loss: 0.8792\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6775 - val_loss: 0.8792\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8293 - val_loss: 0.8792\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6803 - val_loss: 0.8792\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8161 - val_loss: 0.8792\n", "COL: 比表面积, MSE: 3.15E+00,RMSE: 1.7749,MAPE: 23.9 %,MAE: 1.745,R_2: -9.6787\n", "COL: 总孔体积, MSE: 2.57E+00,RMSE: 1.6022,MAPE: 267.31 %,MAE: 1.5898,R_2: -15.1375\n", "COL: 微孔体积, MSE: 9.74E-01,RMSE: 0.9872,MAPE: 211.20000000000002 %,MAE: 0.9771,R_2: -7.2983\n", "Epoch 1/280\n", "15/15 [==============================] - 6s 87ms/step - loss: 1.8668 - val_loss: 1.1992\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4484 - val_loss: 1.4379\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.2950 - val_loss: 1.2383\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3274 - val_loss: 1.3438\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4247 - val_loss: 1.1749\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3966 - val_loss: 1.1068\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.2165 - val_loss: 1.1996\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.3044 - val_loss: 1.0921\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1830 - val_loss: 1.0342\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.1450 - val_loss: 1.1071\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0652 - val_loss: 0.8831\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0268 - val_loss: 0.8447\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9613 - val_loss: 1.0174\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0751 - val_loss: 0.8795\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9335 - val_loss: 0.8544\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8992 - val_loss: 0.8532\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.0178 - val_loss: 0.9018\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0000 - val_loss: 0.7768\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9628 - val_loss: 0.7968\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8164 - val_loss: 0.8871\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.9036 - val_loss: 0.7119\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.7970 - val_loss: 0.8270\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9493 - val_loss: 0.7180\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8372 - val_loss: 0.7380\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8457 - val_loss: 0.7112\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7195 - val_loss: 0.6870\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 10ms/step - loss: 0.7943 - val_loss: 0.6575\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7529 - val_loss: 0.7097\n", "Epoch 29/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.6944 - val_loss: 0.6601\n", "Epoch 30/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6873 - val_loss: 0.7422\n", "Epoch 31/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6731 - val_loss: 0.6164\n", "Epoch 32/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6947 - val_loss: 0.6660\n", "Epoch 33/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6314 - val_loss: 0.7325\n", "Epoch 34/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7560 - val_loss: 0.6896\n", "Epoch 35/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7288 - val_loss: 0.6792\n", "Epoch 36/280\n", "15/15 [==============================] - 0s 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"Epoch 135/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2364 - val_loss: 0.2304\n", "Epoch 136/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1959 - val_loss: 0.2032\n", "Epoch 137/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1983 - val_loss: 0.2122\n", "Epoch 138/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2184 - val_loss: 0.2047\n", "Epoch 139/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1817 - val_loss: 0.2111\n", "Epoch 140/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1568 - val_loss: 0.2090\n", "Epoch 141/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1812 - val_loss: 0.2002\n", "Epoch 142/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1744 - val_loss: 0.1984\n", "Epoch 143/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1886 - val_loss: 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- loss: 0.1551 - val_loss: 0.1935\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1984 - val_loss: 0.1935\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1613 - val_loss: 0.1936\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1437 - val_loss: 0.1936\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1804 - val_loss: 0.1936\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1749 - val_loss: 0.1936\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.1621 - val_loss: 0.1936\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1619 - val_loss: 0.1937\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1722 - val_loss: 0.1936\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1642 - val_loss: 0.1936\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1880 - val_loss: 0.1936\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1713 - val_loss: 0.1936\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.2098 - val_loss: 0.1936\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1343 - val_loss: 0.1936\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1974 - val_loss: 0.1936\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1773 - val_loss: 0.1936\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1614 - val_loss: 0.1936\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1606 - val_loss: 0.1936\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1926 - val_loss: 0.1936\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1581 - val_loss: 0.1936\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1727 - val_loss: 0.1936\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.1736 - val_loss: 0.1936\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1535 - val_loss: 0.1936\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1823 - val_loss: 0.1936\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1547 - val_loss: 0.1936\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1697 - val_loss: 0.1936\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1593 - val_loss: 0.1936\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1424 - val_loss: 0.1936\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1490 - val_loss: 0.1936\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1651 - val_loss: 0.1936\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1833 - val_loss: 0.1936\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1759 - val_loss: 0.1936\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1895 - val_loss: 0.1936\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1532 - val_loss: 0.1936\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1492 - val_loss: 0.1936\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1820 - val_loss: 0.1936\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1774 - val_loss: 0.1936\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1547 - val_loss: 0.1936\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.1821 - val_loss: 0.1936\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1591 - val_loss: 0.1936\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1618 - val_loss: 0.1936\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.1773 - val_loss: 0.1936\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1511 - val_loss: 0.1936\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1963 - val_loss: 0.1936\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1926 - val_loss: 0.1936\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.1658 - val_loss: 0.1936\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.2016 - val_loss: 0.1936\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 8ms/step - loss: 0.1397 - val_loss: 0.1936\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.1688 - val_loss: 0.1936\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 9ms/step - loss: 0.1774 - val_loss: 0.1936\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1549 - val_loss: 0.1936\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1472 - val_loss: 0.1936\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1730 - val_loss: 0.1936\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1665 - val_loss: 0.1936\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1703 - val_loss: 0.1936\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1613 - val_loss: 0.1936\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1654 - val_loss: 0.1936\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1493 - val_loss: 0.1936\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1761 - val_loss: 0.1936\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1988 - val_loss: 0.1936\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1459 - val_loss: 0.1936\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1515 - val_loss: 0.1936\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1596 - val_loss: 0.1936\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1751 - val_loss: 0.1936\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1762 - val_loss: 0.1936\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1753 - val_loss: 0.1936\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1923 - val_loss: 0.1936\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1639 - val_loss: 0.1936\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1644 - val_loss: 0.1936\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1670 - val_loss: 0.1936\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1719 - val_loss: 0.1936\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1763 - val_loss: 0.1936\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1647 - val_loss: 0.1936\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1762 - val_loss: 0.1936\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1605 - val_loss: 0.1936\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1380 - val_loss: 0.1936\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1861 - val_loss: 0.1936\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1560 - val_loss: 0.1936\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1579 - val_loss: 0.1936\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1840 - val_loss: 0.1936\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1631 - val_loss: 0.1936\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1912 - val_loss: 0.1936\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1586 - val_loss: 0.1936\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1560 - val_loss: 0.1936\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1560 - val_loss: 0.1936\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1587 - val_loss: 0.1936\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1489 - val_loss: 0.1936\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1425 - val_loss: 0.1936\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1698 - val_loss: 0.1936\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1693 - val_loss: 0.1936\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1612 - val_loss: 0.1936\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.1393 - val_loss: 0.1936\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1759 - val_loss: 0.1936\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1346 - val_loss: 0.1936\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1715 - val_loss: 0.1936\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1747 - val_loss: 0.1936\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1783 - val_loss: 0.1936\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2145 - val_loss: 0.1936\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1618 - val_loss: 0.1936\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1594 - val_loss: 0.1936\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1733 - val_loss: 0.1936\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1540 - val_loss: 0.1936\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1798 - val_loss: 0.1936\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1628 - val_loss: 0.1936\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1702 - val_loss: 0.1936\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1807 - val_loss: 0.1936\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1776 - val_loss: 0.1936\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1753 - val_loss: 0.1936\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1638 - val_loss: 0.1936\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1876 - val_loss: 0.1936\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1817 - val_loss: 0.1936\n", "COL: 比表面积, MSE: 3.31E+00,RMSE: 1.8196,MAPE: 23.23 %,MAE: 1.7385,R_2: -5.7583\n", "COL: 总孔体积, MSE: 2.00E-01,RMSE: 0.4469,MAPE: 73.2 %,MAE: 0.3261,R_2: 0.383\n", "COL: 微孔体积, MSE: 8.91E-02,RMSE: 0.2985,MAPE: 67.27 %,MAE: 0.2204,R_2: -0.409\n", "Epoch 1/280\n", "15/15 [==============================] - 6s 87ms/step - loss: 1.9754 - val_loss: 1.9920\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.8934 - val_loss: 1.8108\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.8678 - val_loss: 1.7804\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.8099 - val_loss: 1.7808\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7852 - val_loss: 1.7365\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.8005 - val_loss: 1.7159\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.8002 - val_loss: 1.7278\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 1.7150 - val_loss: 1.6841\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.7070 - val_loss: 1.6588\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6771 - val_loss: 1.6260\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.6522 - val_loss: 1.6379\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.6243 - val_loss: 1.5841\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5996 - val_loss: 1.5591\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.6091 - val_loss: 1.5598\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.5881 - val_loss: 1.5620\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5255 - val_loss: 1.5440\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5364 - val_loss: 1.5459\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.5452 - val_loss: 1.5002\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4664 - val_loss: 1.4460\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4699 - val_loss: 1.4584\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.4165 - val_loss: 1.4341\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.4157 - val_loss: 1.4142\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4067 - val_loss: 1.4117\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3716 - val_loss: 1.3767\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3796 - val_loss: 1.3504\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.3564 - val_loss: 1.3289\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.2984 - val_loss: 1.3355\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2968 - val_loss: 1.3116\n", "Epoch 29/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.2898 - val_loss: 1.2716\n", "Epoch 30/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2706 - val_loss: 1.2734\n", "Epoch 31/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2616 - val_loss: 1.2720\n", "Epoch 32/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.2315 - val_loss: 1.2208\n", "Epoch 33/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2314 - val_loss: 1.2156\n", "Epoch 34/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2090 - val_loss: 1.1900\n", "Epoch 35/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1728 - val_loss: 1.1776\n", "Epoch 36/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1574 - val_loss: 1.1586\n", "Epoch 37/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1426 - val_loss: 1.1430\n", "Epoch 38/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1540 - val_loss: 1.1104\n", "Epoch 39/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1075 - val_loss: 1.1120\n", "Epoch 40/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0754 - val_loss: 1.0676\n", "Epoch 41/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0708 - val_loss: 1.0648\n", "Epoch 42/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 1.0629 - val_loss: 1.0402\n", "Epoch 43/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0278 - val_loss: 1.0344\n", "Epoch 44/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0377 - val_loss: 1.0089\n", "Epoch 45/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0029 - val_loss: 0.9939\n", "Epoch 46/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9828 - val_loss: 0.9852\n", "Epoch 47/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9729 - val_loss: 0.9580\n", "Epoch 48/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9498 - val_loss: 0.9360\n", "Epoch 49/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.9313 - val_loss: 0.9178\n", "Epoch 50/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.9114 - val_loss: 0.9116\n", "Epoch 51/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8911 - val_loss: 0.8786\n", "Epoch 52/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8728 - val_loss: 0.8649\n", "Epoch 53/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8607 - val_loss: 0.8530\n", "Epoch 54/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.8456 - val_loss: 0.8272\n", "Epoch 55/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.8353 - val_loss: 0.8141\n", "Epoch 56/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.8056 - val_loss: 0.8010\n", "Epoch 57/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.7975 - val_loss: 0.7785\n", "Epoch 58/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7706 - val_loss: 0.7631\n", "Epoch 59/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7487 - val_loss: 0.7437\n", "Epoch 60/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7475 - val_loss: 0.7329\n", "Epoch 61/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.7218 - val_loss: 0.7051\n", "Epoch 62/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6961 - val_loss: 0.7014\n", "Epoch 63/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6748 - val_loss: 0.6711\n", "Epoch 64/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6677 - val_loss: 0.6656\n", "Epoch 65/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6512 - val_loss: 0.6350\n", "Epoch 66/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.6440 - val_loss: 0.6271\n", "Epoch 67/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.6210 - val_loss: 0.6103\n", "Epoch 68/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5943 - val_loss: 0.5891\n", "Epoch 69/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5832 - val_loss: 0.5770\n", "Epoch 70/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.5636 - val_loss: 0.5581\n", "Epoch 71/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5530 - val_loss: 0.5416\n", "Epoch 72/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.5373 - val_loss: 0.5298\n", "Epoch 73/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5210 - val_loss: 0.5089\n", "Epoch 74/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.5073 - val_loss: 0.5021\n", "Epoch 75/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4912 - val_loss: 0.4890\n", "Epoch 76/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.4719 - val_loss: 0.4673\n", "Epoch 77/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4608 - val_loss: 0.4523\n", "Epoch 78/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4363 - val_loss: 0.4391\n", "Epoch 79/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.4274 - val_loss: 0.4227\n", "Epoch 80/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.4084 - val_loss: 0.4116\n", "Epoch 81/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3988 - val_loss: 0.3912\n", "Epoch 82/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3783 - val_loss: 0.3845\n", "Epoch 83/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.3693 - val_loss: 0.3615\n", "Epoch 84/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.3551 - val_loss: 0.3554\n", "Epoch 85/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3354 - val_loss: 0.3415\n", "Epoch 86/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3240 - val_loss: 0.3161\n", "Epoch 87/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.3123 - val_loss: 0.3055\n", "Epoch 88/280\n", "15/15 [==============================] - 0s 17ms/step - loss: 0.2883 - val_loss: 0.2887\n", "Epoch 89/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2689 - val_loss: 0.2721\n", "Epoch 90/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2605 - val_loss: 0.2620\n", "Epoch 91/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2468 - val_loss: 0.2441\n", "Epoch 92/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2334 - val_loss: 0.2355\n", "Epoch 93/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2148 - val_loss: 0.2202\n", "Epoch 94/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2101 - val_loss: 0.1989\n", "Epoch 95/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1962 - val_loss: 0.1927\n", "Epoch 96/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1746 - val_loss: 0.1719\n", "Epoch 97/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1619 - val_loss: 0.1531\n", "Epoch 98/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.1445 - val_loss: 0.1398\n", "Epoch 99/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1297 - val_loss: 0.1240\n", "Epoch 100/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1157 - val_loss: 0.1125\n", "Epoch 101/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0919 - val_loss: 0.0965\n", "Epoch 102/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0815 - val_loss: 0.0808\n", "Epoch 103/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0625 - val_loss: 0.0682\n", "Epoch 104/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0499 - val_loss: 0.0650\n", "Epoch 105/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0425 - val_loss: 0.0400\n", "Epoch 106/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0262 - val_loss: 0.0429\n", "Epoch 107/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0288 - val_loss: 0.0370\n", "Epoch 108/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0235 - val_loss: 0.0440\n", "Epoch 109/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0243 - val_loss: 0.0438\n", "Epoch 110/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0258 - val_loss: 0.0374\n", "Epoch 111/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0298 - val_loss: 0.0396\n", "Epoch 112/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0265 - val_loss: 0.0444\n", "Epoch 113/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0318 - val_loss: 0.0488\n", "Epoch 114/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0283 - val_loss: 0.0515\n", "Epoch 115/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0273 - val_loss: 0.0436\n", "Epoch 116/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0380 - val_loss: 0.0419\n", "Epoch 117/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0244 - val_loss: 0.0430\n", "Epoch 118/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0224 - val_loss: 0.0451\n", "Epoch 119/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0216 - val_loss: 0.0450\n", "Epoch 120/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0227 - val_loss: 0.0427\n", "Epoch 121/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0263 - val_loss: 0.0422\n", "Epoch 122/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0261 - val_loss: 0.0422\n", "Epoch 123/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0268 - val_loss: 0.0432\n", "Epoch 124/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0220 - val_loss: 0.0437\n", "Epoch 125/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0142 - val_loss: 0.0433\n", "Epoch 126/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0245 - val_loss: 0.0434\n", "Epoch 127/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0327 - val_loss: 0.0443\n", "Epoch 128/280\n", "15/15 [==============================] - 0s 17ms/step - loss: 0.0255 - val_loss: 0.0442\n", "Epoch 129/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0220 - val_loss: 0.0443\n", "Epoch 130/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0244 - val_loss: 0.0444\n", "Epoch 131/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0179 - val_loss: 0.0443\n", "Epoch 132/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0212 - val_loss: 0.0443\n", "Epoch 133/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0198 - val_loss: 0.0442\n", "Epoch 134/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0259 - val_loss: 0.0444\n", "Epoch 135/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0215 - val_loss: 0.0444\n", "Epoch 136/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0246 - val_loss: 0.0444\n", "Epoch 137/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0190 - val_loss: 0.0445\n", "Epoch 138/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0210 - val_loss: 0.0445\n", "Epoch 139/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0182 - val_loss: 0.0445\n", "Epoch 140/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0291 - val_loss: 0.0445\n", "Epoch 141/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0183 - val_loss: 0.0445\n", "Epoch 142/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0212 - val_loss: 0.0445\n", "Epoch 143/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0252 - val_loss: 0.0445\n", "Epoch 144/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0220 - val_loss: 0.0446\n", "Epoch 145/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0220 - val_loss: 0.0446\n", "Epoch 146/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0191 - val_loss: 0.0446\n", "Epoch 147/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0174 - val_loss: 0.0446\n", "Epoch 148/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0209 - val_loss: 0.0446\n", "Epoch 149/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0233 - val_loss: 0.0446\n", "Epoch 150/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0201 - val_loss: 0.0446\n", "Epoch 151/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0195 - val_loss: 0.0446\n", "Epoch 152/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0260 - val_loss: 0.0446\n", "Epoch 153/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0267 - val_loss: 0.0446\n", "Epoch 154/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0202 - val_loss: 0.0446\n", "Epoch 155/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0190 - val_loss: 0.0446\n", "Epoch 156/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0195 - val_loss: 0.0446\n", "Epoch 157/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0221 - val_loss: 0.0446\n", "Epoch 158/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0190 - val_loss: 0.0446\n", "Epoch 159/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0165 - val_loss: 0.0446\n", "Epoch 160/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0188 - val_loss: 0.0446\n", "Epoch 161/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0211 - val_loss: 0.0446\n", "Epoch 162/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0234 - val_loss: 0.0446\n", "Epoch 163/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0319 - val_loss: 0.0446\n", "Epoch 164/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0235 - val_loss: 0.0446\n", "Epoch 165/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0244 - val_loss: 0.0446\n", "Epoch 166/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0283 - val_loss: 0.0446\n", "Epoch 167/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0183 - val_loss: 0.0446\n", "Epoch 168/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0209 - val_loss: 0.0446\n", "Epoch 169/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0320 - val_loss: 0.0446\n", "Epoch 170/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0236 - val_loss: 0.0446\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0265 - val_loss: 0.0446\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0192 - val_loss: 0.0446\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0185 - val_loss: 0.0446\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0247 - val_loss: 0.0446\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0191 - val_loss: 0.0446\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0192 - val_loss: 0.0446\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0237 - val_loss: 0.0446\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0222 - val_loss: 0.0446\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0191 - val_loss: 0.0446\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0278 - val_loss: 0.0446\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0200 - val_loss: 0.0446\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0254 - val_loss: 0.0446\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0204 - val_loss: 0.0446\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0186 - val_loss: 0.0446\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0213 - val_loss: 0.0446\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0213 - val_loss: 0.0446\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0218 - val_loss: 0.0446\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0227 - val_loss: 0.0446\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0196 - val_loss: 0.0446\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0204 - val_loss: 0.0446\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0198 - val_loss: 0.0446\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0265 - val_loss: 0.0446\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0257 - val_loss: 0.0446\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0230 - val_loss: 0.0446\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0234 - val_loss: 0.0446\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0219 - val_loss: 0.0446\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0256 - val_loss: 0.0446\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0208 - val_loss: 0.0446\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0230 - val_loss: 0.0446\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0259 - val_loss: 0.0446\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0250 - val_loss: 0.0446\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0237 - val_loss: 0.0446\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0177 - val_loss: 0.0446\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0175 - val_loss: 0.0446\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0210 - val_loss: 0.0446\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0274 - val_loss: 0.0446\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0236 - val_loss: 0.0446\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0183 - val_loss: 0.0446\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0256 - val_loss: 0.0446\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0223 - val_loss: 0.0446\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0236 - val_loss: 0.0446\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0159 - val_loss: 0.0446\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0226 - val_loss: 0.0446\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0212 - val_loss: 0.0446\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0221 - val_loss: 0.0446\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0186 - val_loss: 0.0446\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0180 - val_loss: 0.0446\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0255 - val_loss: 0.0446\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0168 - val_loss: 0.0446\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0226 - val_loss: 0.0446\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0221 - val_loss: 0.0446\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0256 - val_loss: 0.0446\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0239 - val_loss: 0.0446\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0206 - val_loss: 0.0446\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0213 - val_loss: 0.0446\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0257 - val_loss: 0.0446\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0225 - val_loss: 0.0446\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0156 - val_loss: 0.0446\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0208 - val_loss: 0.0446\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0239 - val_loss: 0.0446\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0207 - val_loss: 0.0446\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0187 - val_loss: 0.0446\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0253 - val_loss: 0.0446\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0213 - val_loss: 0.0446\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0218 - val_loss: 0.0446\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0214 - val_loss: 0.0446\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0203 - val_loss: 0.0446\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0257 - val_loss: 0.0446\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0217 - val_loss: 0.0446\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0219 - val_loss: 0.0446\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0254 - val_loss: 0.0446\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0160 - val_loss: 0.0446\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0260 - val_loss: 0.0446\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0201 - val_loss: 0.0446\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0184 - val_loss: 0.0446\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0234 - val_loss: 0.0446\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0245 - val_loss: 0.0446\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0185 - val_loss: 0.0446\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0181 - val_loss: 0.0446\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0192 - val_loss: 0.0446\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0201 - val_loss: 0.0446\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0237 - val_loss: 0.0446\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0225 - val_loss: 0.0446\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0246 - val_loss: 0.0446\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0346 - val_loss: 0.0446\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0255 - val_loss: 0.0446\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0212 - val_loss: 0.0446\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0218 - val_loss: 0.0446\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0220 - val_loss: 0.0446\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0196 - val_loss: 0.0446\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0267 - val_loss: 0.0446\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0214 - val_loss: 0.0446\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0203 - val_loss: 0.0446\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0202 - val_loss: 0.0446\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0215 - val_loss: 0.0446\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0222 - val_loss: 0.0446\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0218 - val_loss: 0.0446\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0446\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0219 - val_loss: 0.0446\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0199 - val_loss: 0.0446\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0204 - val_loss: 0.0446\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0259 - val_loss: 0.0446\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0239 - val_loss: 0.0446\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0251 - val_loss: 0.0446\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0205 - val_loss: 0.0446\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0238 - val_loss: 0.0446\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0226 - val_loss: 0.0446\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0209 - val_loss: 0.0446\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0203 - val_loss: 0.0446\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0304 - val_loss: 0.0446\n", "COL: 比表面积, MSE: 8.57E-02,RMSE: 0.2928,MAPE: 3.18 %,MAE: 0.2321,R_2: 0.6612\n", "COL: 总孔体积, MSE: 1.47E-01,RMSE: 0.3828,MAPE: 23.830000000000002 %,MAE: 0.2373,R_2: 0.5847\n", "COL: 微孔体积, MSE: 3.54E-02,RMSE: 0.1882,MAPE: 25.540000000000003 %,MAE: 0.1482,R_2: 0.6431\n", "Epoch 1/280\n", "15/15 [==============================] - 6s 87ms/step - loss: 1.7915 - val_loss: 1.5831\n", "Epoch 2/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.4854 - val_loss: 1.5479\n", "Epoch 3/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.4388 - val_loss: 1.5548\n", "Epoch 4/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4186 - val_loss: 1.5243\n", "Epoch 5/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4387 - val_loss: 1.4333\n", "Epoch 6/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.3341 - val_loss: 1.4208\n", "Epoch 7/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.4012 - val_loss: 1.3857\n", "Epoch 8/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2815 - val_loss: 1.3240\n", "Epoch 9/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.2213 - val_loss: 1.2801\n", "Epoch 10/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 1.1352 - val_loss: 1.2286\n", "Epoch 11/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1376 - val_loss: 1.1920\n", "Epoch 12/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.1759 - val_loss: 1.1531\n", "Epoch 13/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0811 - val_loss: 1.0861\n", "Epoch 14/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0537 - val_loss: 1.0637\n", "Epoch 15/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 1.0311 - val_loss: 1.0354\n", "Epoch 16/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 1.0069 - val_loss: 0.9676\n", "Epoch 17/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9223 - val_loss: 0.9667\n", "Epoch 18/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.8913 - val_loss: 0.9186\n", "Epoch 19/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.9217 - val_loss: 0.9701\n", "Epoch 20/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.9211 - val_loss: 0.8864\n", "Epoch 21/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.8601 - val_loss: 0.8302\n", "Epoch 22/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.8128 - val_loss: 0.8375\n", "Epoch 23/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7730 - val_loss: 0.7847\n", "Epoch 24/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.7332 - val_loss: 0.7959\n", "Epoch 25/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6908 - val_loss: 0.7689\n", "Epoch 26/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.7353 - val_loss: 0.7359\n", "Epoch 27/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.6959 - val_loss: 0.6988\n", "Epoch 28/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6375 - val_loss: 0.6795\n", "Epoch 29/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.6234 - val_loss: 0.6861\n", "Epoch 30/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5952 - val_loss: 0.6636\n", "Epoch 31/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5796 - val_loss: 0.6411\n", "Epoch 32/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.5588 - val_loss: 0.5939\n", "Epoch 33/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.5059 - val_loss: 0.5869\n", "Epoch 34/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.5317 - val_loss: 0.5622\n", "Epoch 35/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5272 - val_loss: 0.5156\n", "Epoch 36/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.5096 - val_loss: 0.5028\n", "Epoch 37/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.4625 - val_loss: 0.4561\n", "Epoch 38/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.4435 - val_loss: 0.4643\n", "Epoch 39/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.4074 - val_loss: 0.3901\n", "Epoch 40/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3852 - val_loss: 0.3962\n", "Epoch 41/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3540 - val_loss: 0.3499\n", "Epoch 42/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.3305 - val_loss: 0.3387\n", "Epoch 43/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.2808 - val_loss: 0.3249\n", "Epoch 44/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2860 - val_loss: 0.2871\n", "Epoch 45/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2449 - val_loss: 0.2715\n", "Epoch 46/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.2613 - val_loss: 0.2669\n", "Epoch 47/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.2432 - val_loss: 0.2790\n", "Epoch 48/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.2318 - val_loss: 0.2070\n", "Epoch 49/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1715 - val_loss: 0.2061\n", "Epoch 50/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1673 - val_loss: 0.1978\n", "Epoch 51/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1722 - val_loss: 0.2138\n", "Epoch 52/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1803 - val_loss: 0.2211\n", "Epoch 53/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1670 - val_loss: 0.2144\n", "Epoch 54/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1683 - val_loss: 0.1846\n", "Epoch 55/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1614 - val_loss: 0.1948\n", "Epoch 56/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.1550 - val_loss: 0.1736\n", "Epoch 57/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1552 - val_loss: 0.1860\n", "Epoch 58/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1453 - val_loss: 0.1971\n", "Epoch 59/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1453 - val_loss: 0.1728\n", "Epoch 60/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1203 - val_loss: 0.1919\n", "Epoch 61/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1411 - val_loss: 0.1633\n", "Epoch 62/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1373 - val_loss: 0.1609\n", "Epoch 63/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1333 - val_loss: 0.1626\n", "Epoch 64/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1308 - val_loss: 0.1722\n", "Epoch 65/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1480 - val_loss: 0.1668\n", "Epoch 66/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1385 - val_loss: 0.1745\n", "Epoch 67/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1379 - val_loss: 0.1651\n", "Epoch 68/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1351 - val_loss: 0.1787\n", "Epoch 69/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1341 - val_loss: 0.1736\n", "Epoch 70/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1363 - val_loss: 0.1608\n", "Epoch 71/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1263 - val_loss: 0.1555\n", "Epoch 72/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1054 - val_loss: 0.1488\n", "Epoch 73/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1091 - val_loss: 0.1449\n", "Epoch 74/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1201 - val_loss: 0.1533\n", "Epoch 75/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1039 - val_loss: 0.1477\n", "Epoch 76/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0856 - val_loss: 0.1472\n", "Epoch 77/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1063 - val_loss: 0.1346\n", "Epoch 78/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.1038 - val_loss: 0.1357\n", "Epoch 79/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0987 - val_loss: 0.1458\n", "Epoch 80/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0980 - val_loss: 0.1408\n", "Epoch 81/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1013 - val_loss: 0.1488\n", "Epoch 82/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.1106 - val_loss: 0.1252\n", "Epoch 83/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0947 - val_loss: 0.1318\n", "Epoch 84/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.1007 - val_loss: 0.1268\n", "Epoch 85/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0989 - val_loss: 0.1345\n", "Epoch 86/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0691 - val_loss: 0.1216\n", "Epoch 87/280\n", "15/15 [==============================] - 0s 9ms/step - loss: 0.0807 - val_loss: 0.1239\n", "Epoch 88/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0750 - val_loss: 0.1082\n", "Epoch 89/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0807 - val_loss: 0.1143\n", "Epoch 90/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0740 - val_loss: 0.1164\n", "Epoch 91/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0715 - val_loss: 0.1135\n", "Epoch 92/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0710 - val_loss: 0.1208\n", "Epoch 93/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0686 - val_loss: 0.1155\n", "Epoch 94/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0684 - val_loss: 0.0992\n", "Epoch 95/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0770 - val_loss: 0.1185\n", "Epoch 96/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0633 - val_loss: 0.0914\n", "Epoch 97/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0657 - val_loss: 0.0985\n", "Epoch 98/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0635 - val_loss: 0.0949\n", "Epoch 99/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0546 - val_loss: 0.0930\n", "Epoch 100/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0536 - val_loss: 0.0830\n", "Epoch 101/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0486 - val_loss: 0.0842\n", "Epoch 102/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0479 - val_loss: 0.0841\n", "Epoch 103/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0545 - val_loss: 0.0764\n", "Epoch 104/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0476 - val_loss: 0.0760\n", "Epoch 105/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0482 - val_loss: 0.0715\n", "Epoch 106/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0476 - val_loss: 0.0705\n", "Epoch 107/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0411 - val_loss: 0.0652\n", "Epoch 108/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0474 - val_loss: 0.0638\n", "Epoch 109/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0408 - val_loss: 0.0665\n", "Epoch 110/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0408 - val_loss: 0.0645\n", "Epoch 111/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0369 - val_loss: 0.0660\n", "Epoch 112/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0345 - val_loss: 0.0544\n", "Epoch 113/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0384 - val_loss: 0.0657\n", "Epoch 114/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0342 - val_loss: 0.0542\n", "Epoch 115/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0341 - val_loss: 0.0580\n", "Epoch 116/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0246 - val_loss: 0.0588\n", "Epoch 117/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0237 - val_loss: 0.0608\n", "Epoch 118/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0236 - val_loss: 0.0521\n", "Epoch 119/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0333 - val_loss: 0.0608\n", "Epoch 120/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0267 - val_loss: 0.0640\n", "Epoch 121/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0230 - val_loss: 0.0703\n", "Epoch 122/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0278 - val_loss: 0.0619\n", "Epoch 123/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0253 - val_loss: 0.0610\n", "Epoch 124/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0299 - val_loss: 0.0641\n", "Epoch 125/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0281 - val_loss: 0.0571\n", "Epoch 126/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0259 - val_loss: 0.0676\n", "Epoch 127/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0286 - val_loss: 0.0611\n", "Epoch 128/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0323 - val_loss: 0.0576\n", "Epoch 129/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0228 - val_loss: 0.0573\n", "Epoch 130/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0234 - val_loss: 0.0563\n", "Epoch 131/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0201 - val_loss: 0.0559\n", "Epoch 132/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0204 - val_loss: 0.0563\n", "Epoch 133/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0227 - val_loss: 0.0564\n", "Epoch 134/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0286 - val_loss: 0.0567\n", "Epoch 135/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0176 - val_loss: 0.0560\n", "Epoch 136/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0300 - val_loss: 0.0556\n", "Epoch 137/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0171 - val_loss: 0.0544\n", "Epoch 138/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0205 - val_loss: 0.0538\n", "Epoch 139/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0176 - val_loss: 0.0538\n", "Epoch 140/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0230 - val_loss: 0.0539\n", "Epoch 141/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0232 - val_loss: 0.0540\n", "Epoch 142/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0224 - val_loss: 0.0541\n", "Epoch 143/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0186 - val_loss: 0.0542\n", "Epoch 144/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0228 - val_loss: 0.0542\n", "Epoch 145/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0259 - val_loss: 0.0542\n", "Epoch 146/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0196 - val_loss: 0.0543\n", "Epoch 147/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0258 - val_loss: 0.0544\n", "Epoch 148/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0275 - val_loss: 0.0544\n", "Epoch 149/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0224 - val_loss: 0.0544\n", "Epoch 150/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0198 - val_loss: 0.0544\n", "Epoch 151/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0223 - val_loss: 0.0544\n", "Epoch 152/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0213 - val_loss: 0.0544\n", "Epoch 153/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0183 - val_loss: 0.0544\n", "Epoch 154/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0260 - val_loss: 0.0544\n", "Epoch 155/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0164 - val_loss: 0.0544\n", "Epoch 156/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0195 - val_loss: 0.0544\n", "Epoch 157/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0205 - val_loss: 0.0544\n", "Epoch 158/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0203 - val_loss: 0.0544\n", "Epoch 159/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0181 - val_loss: 0.0544\n", "Epoch 160/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0197 - val_loss: 0.0544\n", "Epoch 161/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0207 - val_loss: 0.0544\n", "Epoch 162/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0196 - val_loss: 0.0544\n", "Epoch 163/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0151 - val_loss: 0.0544\n", "Epoch 164/280\n", "15/15 [==============================] - 0s 17ms/step - loss: 0.0239 - val_loss: 0.0544\n", "Epoch 165/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0207 - val_loss: 0.0544\n", "Epoch 166/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0222 - val_loss: 0.0544\n", "Epoch 167/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0199 - val_loss: 0.0544\n", "Epoch 168/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0211 - val_loss: 0.0544\n", "Epoch 169/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0235 - val_loss: 0.0544\n", "Epoch 170/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0211 - val_loss: 0.0544\n", "Epoch 171/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0217 - val_loss: 0.0544\n", "Epoch 172/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0206 - val_loss: 0.0544\n", "Epoch 173/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0544\n", "Epoch 174/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0313 - val_loss: 0.0544\n", "Epoch 175/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0232 - val_loss: 0.0544\n", "Epoch 176/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0317 - val_loss: 0.0544\n", "Epoch 177/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0241 - val_loss: 0.0544\n", "Epoch 178/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0214 - val_loss: 0.0544\n", "Epoch 179/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0231 - val_loss: 0.0544\n", "Epoch 180/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0227 - val_loss: 0.0544\n", "Epoch 181/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0215 - val_loss: 0.0544\n", "Epoch 182/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0232 - val_loss: 0.0544\n", "Epoch 183/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0544\n", "Epoch 184/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0206 - val_loss: 0.0544\n", "Epoch 185/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0241 - val_loss: 0.0544\n", "Epoch 186/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0212 - val_loss: 0.0544\n", "Epoch 187/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0185 - val_loss: 0.0544\n", "Epoch 188/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0220 - val_loss: 0.0544\n", "Epoch 189/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0243 - val_loss: 0.0544\n", "Epoch 190/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0176 - val_loss: 0.0544\n", "Epoch 191/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0220 - val_loss: 0.0544\n", "Epoch 192/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0204 - val_loss: 0.0544\n", "Epoch 193/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0224 - val_loss: 0.0544\n", "Epoch 194/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0227 - val_loss: 0.0544\n", "Epoch 195/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0544\n", "Epoch 196/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0175 - val_loss: 0.0544\n", "Epoch 197/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0246 - val_loss: 0.0544\n", "Epoch 198/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0188 - val_loss: 0.0544\n", "Epoch 199/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0207 - val_loss: 0.0544\n", "Epoch 200/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0209 - val_loss: 0.0544\n", "Epoch 201/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0225 - val_loss: 0.0544\n", "Epoch 202/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0283 - val_loss: 0.0544\n", "Epoch 203/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0205 - val_loss: 0.0544\n", "Epoch 204/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0212 - val_loss: 0.0544\n", "Epoch 205/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0175 - val_loss: 0.0544\n", "Epoch 206/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0544\n", "Epoch 207/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0201 - val_loss: 0.0544\n", "Epoch 208/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0217 - val_loss: 0.0544\n", "Epoch 209/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0265 - val_loss: 0.0544\n", "Epoch 210/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0199 - val_loss: 0.0544\n", "Epoch 211/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0262 - val_loss: 0.0544\n", "Epoch 212/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0172 - val_loss: 0.0544\n", "Epoch 213/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0202 - val_loss: 0.0544\n", "Epoch 214/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0247 - val_loss: 0.0544\n", "Epoch 215/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0226 - val_loss: 0.0544\n", "Epoch 216/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0231 - val_loss: 0.0544\n", "Epoch 217/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0202 - val_loss: 0.0544\n", "Epoch 218/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0214 - val_loss: 0.0544\n", "Epoch 219/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0214 - val_loss: 0.0544\n", "Epoch 220/280\n", "15/15 [==============================] - 0s 16ms/step - loss: 0.0200 - val_loss: 0.0544\n", "Epoch 221/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0162 - val_loss: 0.0544\n", "Epoch 222/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0183 - val_loss: 0.0544\n", "Epoch 223/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0229 - val_loss: 0.0544\n", "Epoch 224/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0143 - val_loss: 0.0544\n", "Epoch 225/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0265 - val_loss: 0.0544\n", "Epoch 226/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0217 - val_loss: 0.0544\n", "Epoch 227/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0248 - val_loss: 0.0544\n", "Epoch 228/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0238 - val_loss: 0.0544\n", "Epoch 229/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0214 - val_loss: 0.0544\n", "Epoch 230/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0181 - val_loss: 0.0544\n", "Epoch 231/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0184 - val_loss: 0.0544\n", "Epoch 232/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0544\n", "Epoch 233/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0227 - val_loss: 0.0544\n", "Epoch 234/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0188 - val_loss: 0.0544\n", "Epoch 235/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0262 - val_loss: 0.0544\n", "Epoch 236/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0228 - val_loss: 0.0544\n", "Epoch 237/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0218 - val_loss: 0.0544\n", "Epoch 238/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0227 - val_loss: 0.0544\n", "Epoch 239/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0211 - val_loss: 0.0544\n", "Epoch 240/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0263 - val_loss: 0.0544\n", "Epoch 241/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0193 - val_loss: 0.0544\n", "Epoch 242/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0240 - val_loss: 0.0544\n", "Epoch 243/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0247 - val_loss: 0.0544\n", "Epoch 244/280\n", "15/15 [==============================] - 0s 17ms/step - loss: 0.0166 - val_loss: 0.0544\n", "Epoch 245/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0544\n", "Epoch 246/280\n", "15/15 [==============================] - 0s 10ms/step - loss: 0.0247 - val_loss: 0.0544\n", "Epoch 247/280\n", "15/15 [==============================] - 0s 11ms/step - loss: 0.0236 - val_loss: 0.0544\n", "Epoch 248/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0217 - val_loss: 0.0544\n", "Epoch 249/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0226 - val_loss: 0.0544\n", "Epoch 250/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0183 - val_loss: 0.0544\n", "Epoch 251/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0227 - val_loss: 0.0544\n", "Epoch 252/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0228 - val_loss: 0.0544\n", "Epoch 253/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0265 - val_loss: 0.0544\n", "Epoch 254/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0253 - val_loss: 0.0544\n", "Epoch 255/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0211 - val_loss: 0.0544\n", "Epoch 256/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0255 - val_loss: 0.0544\n", "Epoch 257/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0200 - val_loss: 0.0544\n", "Epoch 258/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0273 - val_loss: 0.0544\n", "Epoch 259/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0248 - val_loss: 0.0544\n", "Epoch 260/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0210 - val_loss: 0.0544\n", "Epoch 261/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0230 - val_loss: 0.0544\n", "Epoch 262/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0210 - val_loss: 0.0544\n", "Epoch 263/280\n", "15/15 [==============================] - 0s 12ms/step - loss: 0.0240 - val_loss: 0.0544\n", "Epoch 264/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0196 - val_loss: 0.0544\n", "Epoch 265/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0163 - val_loss: 0.0544\n", "Epoch 266/280\n", "15/15 [==============================] - 0s 15ms/step - loss: 0.0201 - val_loss: 0.0544\n", "Epoch 267/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0216 - val_loss: 0.0544\n", "Epoch 268/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0177 - val_loss: 0.0544\n", "Epoch 269/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0265 - val_loss: 0.0544\n", "Epoch 270/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0193 - val_loss: 0.0544\n", "Epoch 271/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0209 - val_loss: 0.0544\n", "Epoch 272/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0199 - val_loss: 0.0544\n", "Epoch 273/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0172 - val_loss: 0.0544\n", "Epoch 274/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0182 - val_loss: 0.0544\n", "Epoch 275/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0258 - val_loss: 0.0544\n", "Epoch 276/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0150 - val_loss: 0.0544\n", "Epoch 277/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0219 - val_loss: 0.0544\n", "Epoch 278/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0210 - val_loss: 0.0544\n", "Epoch 279/280\n", "15/15 [==============================] - 0s 14ms/step - loss: 0.0220 - val_loss: 0.0544\n", "Epoch 280/280\n", "15/15 [==============================] - 0s 13ms/step - loss: 0.0166 - val_loss: 0.0544\n", "COL: 比表面积, MSE: 5.96E-02,RMSE: 0.244,MAPE: 2.69 %,MAE: 0.2008,R_2: 0.6614\n", "COL: 总孔体积, MSE: 1.18E-01,RMSE: 0.3435,MAPE: 23.05 %,MAE: 0.2474,R_2: 0.5394\n", "COL: 微孔体积, MSE: 1.40E-02,RMSE: 0.1182,MAPE: 12.839999999999998 %,MAE: 0.0836,R_2: 0.6906\n" ] } ], "source": [ "total_bet = list()\n", "total_micro = list()\n", "total_mesco = list()\n", "for train_index, test_index in kf.split(use_data):\n", " test = use_data.iloc[test_index].copy()\n", " train = use_data.iloc[train_index].copy()\n", " train, valid = train_test_split(train, test_size=0.2, random_state=42, shuffle=True)\n", " prediction_model = get_prediction_model()\n", " trainable_model = get_trainable_model(prediction_model)\n", " X = np.expand_dims(train[feature_cols].values, axis=1)\n", " Y = [x for x in train[out_cols].values.T]\n", " Y_valid = [x for x in valid[out_cols].values.T]\n", " X_valid = np.expand_dims(valid[feature_cols].values, axis=1)\n", " trainable_model.compile(optimizer='adam', loss=None)\n", " hist = trainable_model.fit([X, Y[0], Y[1], Y[2]], epochs=280, batch_size=8, verbose=1, \n", " validation_data=[X_valid, Y_valid[0], Y_valid[1], Y_valid[2]],\n", " callbacks=[reduce_lr]\n", " )\n", " rst = prediction_model.predict(np.expand_dims(test[feature_cols], axis=1))\n", " pred_rst = pd.DataFrame.from_records(np.squeeze(np.asarray(rst), axis=2).T, columns=out_cols)\n", " real_rst = test[out_cols].copy()\n", " for col in out_cols:\n", " pred_rst[col] = pred_rst[col] * (maxs[col] - mins[col]) + mins[col]\n", " real_rst[col] = real_rst[col] * (maxs[col] - mins[col]) + mins[col]\n", " pred_rst['比表面积'] = np.expm1(pred_rst['比表面积'])\n", " real_rst['比表面积'] = np.expm1(real_rst['比表面积'])\n", " y_pred_pm25 = pred_rst['比表面积'].values.reshape(-1,)\n", " y_pred_pm10 = pred_rst['总孔体积'].values.reshape(-1,)\n", " y_pred_so2 = pred_rst['微孔体积'].values.reshape(-1,)\n", " y_true_pm25 = real_rst['比表面积'].values.reshape(-1,)\n", " y_true_pm10 = real_rst['总孔体积'].values.reshape(-1,)\n", " y_true_so2 = real_rst['微孔体积'].values.reshape(-1,)\n", " bet_eva = print_eva(y_true_pm25, y_pred_pm25, tp='比表面积')\n", " mesco_eva = print_eva(y_true_pm10, y_pred_pm10, tp='总孔体积')\n", " micro_eva = print_eva(y_true_so2, y_pred_so2, tp='微孔体积')\n", " total_bet.append(bet_eva)\n", " total_mesco.append(mesco_eva)\n", " total_micro.append(micro_eva)" ] }, { "cell_type": "code", "execution_count": 30, "id": "54c1df2c-c297-4b8d-be8a-3a99cff22545", "metadata": {}, "outputs": [], "source": [ "train, valid = train_test_split(use_data[use_cols], test_size=0.3, random_state=42, shuffle=True)\n", "valid, test = train_test_split(valid, test_size=0.3, random_state=42, shuffle=True)" ] }, { "cell_type": "code", "execution_count": 31, "id": "e7a914da-b9c2-40d9-96e0-459b0888adba", "metadata": {}, "outputs": [], "source": [ "prediction_model = get_prediction_model()\n", "trainable_model = get_trainable_model(prediction_model)" ] }, { "cell_type": "code", "execution_count": 32, "id": "4f832a1e-48e2-4467-b381-35b9d2f1271a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Model: \"model_20\"\n", "__________________________________________________________________________________________________\n", "Layer (type) Output Shape Param # Connected to \n", "==================================================================================================\n", "input (InputLayer) [(None, 1, 9)] 0 \n", "__________________________________________________________________________________________________\n", "conv1d_10 (Conv1D) (None, 1, 64) 640 input[0][0] \n", "__________________________________________________________________________________________________\n", "dropout_40 (Dropout) (None, 1, 64) 0 conv1d_10[0][0] \n", "__________________________________________________________________________________________________\n", "bidirectional_10 (Bidirectional (None, 1, 128) 66048 dropout_40[0][0] \n", "__________________________________________________________________________________________________\n", "transformer_block_10 (Transform (None, 1, 128) 201612 bidirectional_10[0][0] \n", "__________________________________________________________________________________________________\n", "global_average_pooling1d_10 (Gl (None, 128) 0 transformer_block_10[0][0] \n", "__________________________________________________________________________________________________\n", "dropout_43 (Dropout) (None, 128) 0 global_average_pooling1d_10[0][0]\n", "__________________________________________________________________________________________________\n", "dense_73 (Dense) (None, 64) 8256 dropout_43[0][0] \n", "__________________________________________________________________________________________________\n", "dense_74 (Dense) (None, 32) 2080 dense_73[0][0] \n", "__________________________________________________________________________________________________\n", "dense_75 (Dense) (None, 32) 2080 dense_73[0][0] \n", "__________________________________________________________________________________________________\n", "dense_76 (Dense) (None, 32) 2080 dense_73[0][0] \n", "__________________________________________________________________________________________________\n", "bet2 (Dense) (None, 1) 33 dense_74[0][0] \n", "__________________________________________________________________________________________________\n", "mesco2 (Dense) (None, 1) 33 dense_75[0][0] \n", "__________________________________________________________________________________________________\n", "micro2 (Dense) (None, 1) 33 dense_76[0][0] \n", "==================================================================================================\n", "Total params: 282,895\n", "Trainable params: 282,895\n", "Non-trainable params: 0\n", "__________________________________________________________________________________________________\n" ] } ], "source": [ "prediction_model.summary()" ] }, { "cell_type": "code", "execution_count": 33, "id": "2494ef5a-5b2b-4f11-b6cd-dc39503c9106", "metadata": {}, "outputs": [], "source": [ "X = np.expand_dims(train[feature_cols].values, axis=1)\n", "Y = [x for x in train[out_cols].values.T]\n", "Y_valid = [x for x in valid[out_cols].values.T]" ] }, { "cell_type": "code", "execution_count": 34, "id": "32cd89b1-3379-4c40-92f9-e5426c8b229d", "metadata": {}, "outputs": [], "source": [ "X_valid = np.expand_dims(valid[feature_cols].values, axis=1)" ] }, { "cell_type": "code", "execution_count": 35, "id": "cf869e4d-0fce-45a2-afff-46fd9b30fd1c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Epoch 1/280\n", "14/14 [==============================] - 6s 102ms/step - loss: 1.9726 - val_loss: 1.9315\n", "Epoch 2/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.9151 - val_loss: 1.8694\n", "Epoch 3/280\n", "14/14 [==============================] - 0s 12ms/step - loss: 1.8556 - val_loss: 1.8408\n", "Epoch 4/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 1.8443 - val_loss: 1.8135\n", "Epoch 5/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 1.7872 - val_loss: 1.7786\n", "Epoch 6/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.7575 - val_loss: 1.7491\n", "Epoch 7/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.7200 - val_loss: 1.7100\n", "Epoch 8/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.7015 - val_loss: 1.6676\n", "Epoch 9/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.6513 - val_loss: 1.6266\n", "Epoch 10/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.6336 - val_loss: 1.5949\n", "Epoch 11/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.5841 - val_loss: 1.5725\n", "Epoch 12/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 1.5839 - val_loss: 1.5405\n", "Epoch 13/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.5170 - val_loss: 1.5139\n", "Epoch 14/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.5071 - val_loss: 1.4670\n", "Epoch 15/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 1.4613 - val_loss: 1.4348\n", "Epoch 16/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.4164 - val_loss: 1.4158\n", "Epoch 17/280\n", "14/14 [==============================] - 0s 16ms/step - loss: 1.4005 - val_loss: 1.3993\n", "Epoch 18/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 1.3717 - val_loss: 1.3793\n", "Epoch 19/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.3516 - val_loss: 1.3384\n", "Epoch 20/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.3167 - val_loss: 1.2922\n", "Epoch 21/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.2712 - val_loss: 1.2535\n", "Epoch 22/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 1.2406 - val_loss: 1.2342\n", "Epoch 23/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 1.2112 - val_loss: 1.2048\n", "Epoch 24/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 1.1871 - val_loss: 1.1615\n", "Epoch 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88/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.2283 - val_loss: 0.2267\n", "Epoch 89/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.2138 - val_loss: 0.2042\n", "Epoch 90/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.1944 - val_loss: 0.1909\n", "Epoch 91/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.1891 - val_loss: 0.1766\n", "Epoch 92/280\n", "14/14 [==============================] - 0s 12ms/step - loss: 0.1744 - val_loss: 0.1632\n", "Epoch 93/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.1597 - val_loss: 0.1546\n", "Epoch 94/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.1430 - val_loss: 0.1371\n", "Epoch 95/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.1227 - val_loss: 0.1261\n", "Epoch 96/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.1142 - val_loss: 0.1068\n", "Epoch 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"Epoch 106/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0260 - val_loss: 0.0284\n", "Epoch 107/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0279 - val_loss: 0.0327\n", "Epoch 108/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0189 - val_loss: 0.0304\n", "Epoch 109/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0247 - val_loss: 0.0290\n", "Epoch 110/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0223 - val_loss: 0.0399\n", "Epoch 111/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0211 - val_loss: 0.0323\n", "Epoch 112/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0198 - val_loss: 0.0295\n", "Epoch 113/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0178 - val_loss: 0.0283\n", "Epoch 114/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0212 - val_loss: 0.0283\n", "Epoch 115/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0166 - val_loss: 0.0282\n", "Epoch 116/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0282\n", "Epoch 117/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0228 - val_loss: 0.0281\n", "Epoch 118/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0173 - val_loss: 0.0280\n", "Epoch 119/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0209 - val_loss: 0.0271\n", "Epoch 120/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0162 - val_loss: 0.0280\n", "Epoch 121/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0176 - val_loss: 0.0268\n", "Epoch 122/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0171 - val_loss: 0.0270\n", "Epoch 123/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0154 - val_loss: 0.0276\n", "Epoch 124/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0179 - val_loss: 0.0270\n", "Epoch 125/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0164 - val_loss: 0.0265\n", "Epoch 126/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0200 - val_loss: 0.0276\n", "Epoch 127/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0151 - val_loss: 0.0285\n", "Epoch 128/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0254 - val_loss: 0.0280\n", "Epoch 129/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0214 - val_loss: 0.0275\n", "Epoch 130/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0189 - val_loss: 0.0267\n", "Epoch 131/280\n", "14/14 [==============================] - 0s 17ms/step - loss: 0.0224 - val_loss: 0.0264\n", "Epoch 132/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0200 - val_loss: 0.0270\n", "Epoch 133/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0146 - val_loss: 0.0270\n", "Epoch 134/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0172 - val_loss: 0.0274\n", "Epoch 135/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0130 - val_loss: 0.0279\n", "Epoch 136/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0238 - val_loss: 0.0275\n", "Epoch 137/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0135 - val_loss: 0.0274\n", "Epoch 138/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0153 - val_loss: 0.0272\n", "Epoch 139/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0141 - val_loss: 0.0271\n", "Epoch 140/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0165 - val_loss: 0.0269\n", "Epoch 141/280\n", "14/14 [==============================] - 0s 13ms/step 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13ms/step - loss: 0.0177 - val_loss: 0.0268\n", "Epoch 151/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0195 - val_loss: 0.0268\n", "Epoch 152/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0146 - val_loss: 0.0268\n", "Epoch 153/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0156 - val_loss: 0.0268\n", "Epoch 154/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0144 - val_loss: 0.0268\n", "Epoch 155/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0162 - val_loss: 0.0268\n", "Epoch 156/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0173 - val_loss: 0.0268\n", "Epoch 157/280\n", "14/14 [==============================] - 0s 12ms/step - loss: 0.0202 - val_loss: 0.0268\n", "Epoch 158/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0167 - val_loss: 0.0268\n", "Epoch 159/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0134 - val_loss: 0.0268\n", "Epoch 160/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0165 - val_loss: 0.0268\n", "Epoch 161/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0143 - val_loss: 0.0268\n", "Epoch 162/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0185 - val_loss: 0.0268\n", "Epoch 163/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0120 - val_loss: 0.0268\n", "Epoch 164/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0282 - val_loss: 0.0268\n", "Epoch 165/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0188 - val_loss: 0.0268\n", "Epoch 166/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 167/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0152 - val_loss: 0.0268\n", "Epoch 168/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0172 - val_loss: 0.0268\n", "Epoch 169/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0179 - val_loss: 0.0268\n", "Epoch 170/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0148 - val_loss: 0.0268\n", "Epoch 171/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 172/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0197 - val_loss: 0.0268\n", "Epoch 173/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0194 - val_loss: 0.0268\n", "Epoch 174/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0157 - val_loss: 0.0268\n", "Epoch 175/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0148 - val_loss: 0.0268\n", "Epoch 176/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0173 - val_loss: 0.0268\n", "Epoch 177/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0155 - val_loss: 0.0268\n", "Epoch 178/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0155 - val_loss: 0.0268\n", "Epoch 179/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0124 - val_loss: 0.0268\n", "Epoch 180/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0136 - val_loss: 0.0268\n", "Epoch 181/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0186 - val_loss: 0.0268\n", "Epoch 182/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0166 - val_loss: 0.0268\n", "Epoch 183/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0184 - val_loss: 0.0268\n", "Epoch 184/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0167 - val_loss: 0.0268\n", "Epoch 185/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 186/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0191 - val_loss: 0.0268\n", "Epoch 187/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0121 - val_loss: 0.0268\n", "Epoch 188/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0142 - val_loss: 0.0268\n", "Epoch 189/280\n", "14/14 [==============================] - 0s 12ms/step - loss: 0.0169 - val_loss: 0.0268\n", "Epoch 190/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 191/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0194 - val_loss: 0.0268\n", "Epoch 192/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0157 - val_loss: 0.0268\n", "Epoch 193/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0145 - val_loss: 0.0268\n", "Epoch 194/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 195/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0306 - val_loss: 0.0268\n", "Epoch 196/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 197/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0161 - val_loss: 0.0268\n", "Epoch 198/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0185 - val_loss: 0.0268\n", "Epoch 199/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0145 - val_loss: 0.0268\n", "Epoch 200/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0154 - val_loss: 0.0268\n", "Epoch 201/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0188 - val_loss: 0.0268\n", "Epoch 202/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0145 - val_loss: 0.0268\n", "Epoch 203/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0207 - val_loss: 0.0268\n", "Epoch 204/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 205/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0156 - val_loss: 0.0268\n", "Epoch 206/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0145 - val_loss: 0.0268\n", "Epoch 207/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0155 - val_loss: 0.0268\n", "Epoch 208/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0249 - val_loss: 0.0268\n", "Epoch 209/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0219 - val_loss: 0.0268\n", "Epoch 210/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0163 - val_loss: 0.0268\n", "Epoch 211/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0196 - val_loss: 0.0268\n", "Epoch 212/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0131 - val_loss: 0.0268\n", "Epoch 213/280\n", "14/14 [==============================] - 0s 12ms/step - loss: 0.0161 - val_loss: 0.0268\n", "Epoch 214/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0150 - val_loss: 0.0268\n", "Epoch 215/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0203 - val_loss: 0.0268\n", "Epoch 216/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0169 - val_loss: 0.0268\n", "Epoch 217/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0139 - val_loss: 0.0268\n", "Epoch 218/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0167 - val_loss: 0.0268\n", "Epoch 219/280\n", "14/14 [==============================] - 0s 12ms/step - loss: 0.0224 - val_loss: 0.0268\n", "Epoch 220/280\n", "14/14 [==============================] - 0s 12ms/step - loss: 0.0218 - val_loss: 0.0268\n", "Epoch 221/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0197 - val_loss: 0.0268\n", "Epoch 222/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0184 - val_loss: 0.0268\n", "Epoch 223/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0175 - val_loss: 0.0268\n", "Epoch 224/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0168 - val_loss: 0.0268\n", "Epoch 225/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 226/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0227 - val_loss: 0.0268\n", "Epoch 227/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0210 - val_loss: 0.0268\n", "Epoch 228/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0146 - val_loss: 0.0268\n", "Epoch 229/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0146 - val_loss: 0.0268\n", "Epoch 230/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0159 - val_loss: 0.0268\n", "Epoch 231/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0211 - val_loss: 0.0268\n", "Epoch 232/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0143 - val_loss: 0.0268\n", "Epoch 233/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0161 - val_loss: 0.0268\n", "Epoch 234/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0138 - val_loss: 0.0268\n", "Epoch 235/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0192 - val_loss: 0.0268\n", "Epoch 236/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0180 - val_loss: 0.0268\n", "Epoch 237/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0134 - val_loss: 0.0268\n", "Epoch 238/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0137 - val_loss: 0.0268\n", "Epoch 239/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0193 - val_loss: 0.0268\n", "Epoch 240/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0224 - val_loss: 0.0268\n", "Epoch 241/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0130 - val_loss: 0.0268\n", "Epoch 242/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0129 - val_loss: 0.0268\n", "Epoch 243/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0219 - val_loss: 0.0268\n", "Epoch 244/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0126 - val_loss: 0.0268\n", "Epoch 245/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0190 - val_loss: 0.0268\n", "Epoch 246/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0220 - val_loss: 0.0268\n", "Epoch 247/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0223 - val_loss: 0.0268\n", "Epoch 248/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0155 - val_loss: 0.0268\n", "Epoch 249/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0170 - val_loss: 0.0268\n", "Epoch 250/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0188 - val_loss: 0.0268\n", "Epoch 251/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0163 - val_loss: 0.0268\n", "Epoch 252/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0131 - val_loss: 0.0268\n", "Epoch 253/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0202 - val_loss: 0.0268\n", "Epoch 254/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0187 - val_loss: 0.0268\n", "Epoch 255/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0172 - val_loss: 0.0268\n", "Epoch 256/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0143 - val_loss: 0.0268\n", "Epoch 257/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0124 - val_loss: 0.0268\n", "Epoch 258/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0128 - val_loss: 0.0268\n", "Epoch 259/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0121 - val_loss: 0.0268\n", "Epoch 260/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0262 - val_loss: 0.0268\n", "Epoch 261/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0185 - val_loss: 0.0268\n", "Epoch 262/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0179 - val_loss: 0.0268\n", "Epoch 263/280\n", "14/14 [==============================] - 0s 11ms/step - loss: 0.0155 - val_loss: 0.0268\n", "Epoch 264/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0158 - val_loss: 0.0268\n", "Epoch 265/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0268\n", "Epoch 266/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0194 - val_loss: 0.0268\n", "Epoch 267/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0168 - val_loss: 0.0268\n", "Epoch 268/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0198 - val_loss: 0.0268\n", "Epoch 269/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0171 - val_loss: 0.0268\n", "Epoch 270/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0206 - val_loss: 0.0268\n", "Epoch 271/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0159 - val_loss: 0.0268\n", "Epoch 272/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0140 - val_loss: 0.0268\n", "Epoch 273/280\n", "14/14 [==============================] - 0s 15ms/step - loss: 0.0156 - val_loss: 0.0268\n", "Epoch 274/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0187 - val_loss: 0.0268\n", "Epoch 275/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0223 - val_loss: 0.0268\n", "Epoch 276/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0179 - val_loss: 0.0268\n", "Epoch 277/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0160 - val_loss: 0.0268\n", "Epoch 278/280\n", "14/14 [==============================] - 0s 14ms/step - loss: 0.0174 - val_loss: 0.0268\n", "Epoch 279/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0180 - val_loss: 0.0268\n", "Epoch 280/280\n", "14/14 [==============================] - 0s 13ms/step - loss: 0.0147 - val_loss: 0.0268\n" ] } ], "source": [ "trainable_model.compile(optimizer='adam', loss=None)\n", "hist = trainable_model.fit([X, Y[0], Y[1], Y[2]], epochs=280, batch_size=8, verbose=1, \n", " validation_data=[X_valid, Y_valid[0], Y_valid[1], Y_valid[2]],\n", " callbacks=[reduce_lr]\n", " )" ] }, { "cell_type": "code", "execution_count": 36, "id": "67bfbe88-5f2c-4659-b2dc-eb9f1b824d04", "metadata": {}, "outputs": [], "source": [ "rst = prediction_model.predict(np.expand_dims(test[feature_cols], axis=1))" ] }, { "cell_type": "code", "execution_count": 37, "id": "7de501e9-05a2-424c-a5f4-85d43ad37592", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[0.9991102134329165, 0.9990587871483716, 0.9990097447684705]" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "[np.exp(K.get_value(log_var[0]))**0.5 for log_var in trainable_model.layers[-1].log_vars]" ] }, { "cell_type": "code", "execution_count": 38, "id": "b0d5d8ad-aadd-4218-b5b7-9691a2d3eeef", "metadata": {}, "outputs": [], "source": [ "pred_rst = pd.DataFrame.from_records(np.squeeze(np.asarray(rst), axis=2).T, columns=out_cols)" ] }, { "cell_type": "code", "execution_count": 39, "id": "0a2bcb45-da86-471b-a61d-314e29430d6a", "metadata": {}, "outputs": [], "source": [ "real_rst = test[out_cols].copy()" ] }, { "cell_type": "code", "execution_count": 40, "id": "e124f7c0-fdd5-43b9-b649-ff7d9dd59641", "metadata": {}, "outputs": [], "source": [ "for col in out_cols:\n", " pred_rst[col] = pred_rst[col] * (maxs[col] - mins[col]) + mins[col]\n", " real_rst[col] = real_rst[col] * (maxs[col] - mins[col]) + mins[col]" ] }, { "cell_type": "code", "execution_count": 41, "id": "82cca0af-4aef-47d5-830a-04a51837c005", "metadata": {}, "outputs": [], "source": [ "pred_rst['比表面积'] = np.expm1(pred_rst['比表面积'])\n", "real_rst['比表面积'] = np.expm1(real_rst['比表面积'])" ] }, { "cell_type": "code", "execution_count": 42, "id": "5c69d03b-34fd-4dbf-aec6-c15093bb22ab", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['比表面积', '总孔体积', '微孔体积'], dtype='object')" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "real_rst.columns" ] }, { "cell_type": "code", "execution_count": 43, "id": "21739f82-d82a-4bde-8537-9504b68a96d5", "metadata": {}, "outputs": [], "source": [ "y_pred_pm25 = pred_rst['比表面积'].values.reshape(-1,)\n", "y_pred_pm10 = pred_rst['总孔体积'].values.reshape(-1,)\n", "y_pred_so2 = pred_rst['微孔体积'].values.reshape(-1,)\n", "y_true_pm25 = real_rst['比表面积'].values.reshape(-1,)\n", "y_true_pm10 = real_rst['总孔体积'].values.reshape(-1,)\n", "y_true_so2 = real_rst['微孔体积'].values.reshape(-1,)" ] }, { "cell_type": "code", "execution_count": 44, "id": "4ec4caa9-7c46-4fc8-a94b-cb659e924304", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "COL: 比表面积, MSE: 1.41E-01,RMSE: 0.3751,MAPE: 4.15 %,MAE: 0.2805,R_2: 0.5069\n", "COL: 总孔体积, MSE: 3.31E-02,RMSE: 0.1819,MAPE: 21.86 %,MAE: 0.1473,R_2: 0.7538\n", "COL: 微孔体积, MSE: 2.67E-02,RMSE: 0.1635,MAPE: 25.290000000000003 %,MAE: 0.1261,R_2: 0.6851\n" ] } ], "source": [ "pm25_eva = print_eva(y_true_pm25, y_pred_pm25, tp='比表面积')\n", "pm10_eva = print_eva(y_true_pm10, y_pred_pm10, tp='总孔体积')\n", "so2_eva = print_eva(y_true_so2, y_pred_so2, tp='微孔体积')" ] }, { "cell_type": "code", "execution_count": null, "id": "ac4a4339-ec7d-4266-8197-5276c2395288", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "id": "f15cbb91-1ce7-4fb0-979a-a4bdc452a1ec", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "python37", "language": "python", "name": "python37" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.16" } }, "nbformat": 4, "nbformat_minor": 5 }