{"id":3893,"date":"2026-07-19T20:26:09","date_gmt":"2026-07-19T12:26:09","guid":{"rendered":"https:\/\/www.khsci.com\/docs\/index.php\/2026\/07\/19\/cnn-rnn-forecast-matlab\/"},"modified":"2026-07-19T21:14:30","modified_gmt":"2026-07-19T13:14:30","slug":"cnn-rnn-forecast-matlab","status":"publish","type":"post","link":"https:\/\/www.khsci.com\/docs\/index.php\/2026\/07\/19\/cnn-rnn-forecast-matlab\/","title":{"rendered":"CNN-RNN\u65f6\u95f4\u5e8f\u5217\u9884\u6d4bMATLAB\u4ee3\u7801"},"content":{"rendered":"\n<p>\u672c\u6587\u4ecb\u7ecd\u4e00\u5957 MATLAB \u7248 CNN-RNN \u6df7\u5408\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u4ee3\u7801\u3002\u7a0b\u5e8f\u4ee5 <code>chickenpox.mat<\/code> \u4e2d\u7684\u4e00\u7ef4\u6708\u5ea6\u65f6\u95f4\u5e8f\u5217\u4f5c\u4e3a\u6f14\u793a\u6848\u4f8b\uff0c\u5c01\u88c5\u4e86\u5355\u6b65\u9884\u6d4b\u548c\u591a\u6b65\u9012\u5f52\u9884\u6d4b\u4e24\u4e2a\u5165\u53e3\uff0c\u9002\u5408\u7528\u4e8e\u6709\u660e\u663e\u5c40\u90e8\u6ce2\u52a8\u3001\u5468\u671f\u6027\u6216\u957f\u671f\u4f9d\u8d56\u7684\u4e00\u7ef4\u5e8f\u5217\u9884\u6d4b\u4efb\u52a1\u3002<\/p>\n\n\n\n<ul>\n<li>\u4f7f\u7528 chickenpox \u6708\u5ea6\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4f5c\u4e3a\u6f14\u793a\u6848\u4f8b\u3002<\/li>\n<li>\u53ef\u4ee5\u81ea\u7531\u8bbe\u7f6e\u6ed1\u52a8\u7a97\u53e3\u957f\u5ea6\u3001CNN \u5377\u79ef\u5c42\u901a\u9053\u6570\u3001\u5377\u79ef\u6838\u5927\u5c0f\u3001\u6c60\u5316\u7a97\u53e3\u3001RNN \u7c7b\u578b\u548c\u9690\u85cf\u5355\u5143\u6570\u3002<\/li>\n<li>MATLAB \u7248 RNN \u5c42\u652f\u6301 LSTM\u3001GRU\u3001BiLSTM \u4e09\u79cd\u7ed3\u6784\u3002<\/li>\n<li>\u53ef\u6309\u65f6\u95f4\u987a\u5e8f\u5feb\u901f\u5212\u5206\u8bad\u7ec3+\u9a8c\u8bc1\u6570\u636e\u3001\u9a8c\u8bc1\u96c6\u3001\u6d4b\u8bd5\u96c6\uff0c\u907f\u514d\u628a\u672a\u6765\u4fe1\u606f\u63d0\u524d\u6cc4\u9732\u7ed9\u6a21\u578b\u3002<\/li>\n<li>\u7a0b\u5e8f\u8fd0\u884c\u540e\u81ea\u52a8\u7ed8\u5236\u6536\u655b\u8fc7\u7a0b\u3001\u8bad\u7ec3\u96c6\u9884\u6d4b\u7ed3\u679c\u3001\u9a8c\u8bc1\u96c6\u9884\u6d4b\u7ed3\u679c\u3001\u6d4b\u8bd5\u96c6\u9884\u6d4b\u7ed3\u679c\u3001\u6d4b\u8bd5\u6bb5\u9012\u5f52\u9884\u6d4b\u56fe\u3001MAE\/MSE\/MAPE\/RMSE\/R\u00b2\/R \u7b49\u6307\u6807\u5bf9\u6bd4\u56fe\u3002<\/li>\n<li>\u652f\u6301\u968f\u673a\u79cd\u5b50\u8bbe\u7f6e\uff0c\u4fbf\u4e8e\u590d\u73b0\u5b9e\u9a8c\u7ed3\u679c\u3002<\/li>\n<li>\u9700\u8981\u4f60\u505a\u7684\u4e3b\u8981\u662f\u5bfc\u5165\u81ea\u5df1\u7684\u65f6\u95f4\u5e8f\u5217\u3001\u8bbe\u7f6e\u7a97\u53e3\u957f\u5ea6\u3001\u7f51\u7edc\u7ed3\u6784\u548c\u8bad\u7ec3\u53c2\u6570\u3002<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">\u4e00\u3001\u4ee3\u7801\u8fd0\u884c\u73af\u5883<\/h4>\n\n\n\n<p>\u63a8\u8350\u8fd0\u884c\u73af\u5883\u4e3a MATLAB R2022a \u53ca\u66f4\u65b0\u7248\u672c\uff0c\u5e76\u5b89\u88c5 Deep Learning Toolbox\u3002<\/p>\n\n\n\n<p>\u672c\u4ee3\u7801\u5f00\u53d1\u548c\u6d4b\u8bd5\u65f6\u4f7f\u7528 MATLAB R2024a\u3002\u7a0b\u5e8f\u4e2d\u7528\u5230\u4e86 <code>convolution1dLayer<\/code>\u3001<code>lstmLayer<\/code>\u3001<code>gruLayer<\/code>\u3001<code>bilstmLayer<\/code>\u3001<code>trainNetwork<\/code>\u3001<code>trainingOptions<\/code>\u3001<code>exportgraphics<\/code> \u7b49\u51fd\u6570\u3002\u5982\u679c\u4f60\u4f7f\u7528\u66f4\u65e9\u7248\u672c MATLAB\uff0c\u5efa\u8bae\u5148\u786e\u8ba4\u8fd9\u4e9b\u51fd\u6570\u662f\u5426\u53ef\u7528\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u4e8c\u3001\u7a0b\u5e8f\u4ecb\u7ecd<\/h4>\n\n\n\n<p>\u5b8c\u6574\u7248\u4ee3\u7801\u6587\u4ef6\u7ed3\u6784\u5982\u4e0b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-text\">CNN_RNNs_Forecast\/\n\u251c\u2500\u2500 demoCNNRNNsForecast.m\n\u251c\u2500\u2500 demoCNNRNNsForecastMul.m\n\u251c\u2500\u2500 FunCNNRNNsForecast.m\n\u251c\u2500\u2500 FunCNNRNNsForecastMul.m\n\u251c\u2500\u2500 EvaForeEffect.m\n\u251c\u2500\u2500 chickenpox.mat\n\u251c\u2500\u2500 figure\/\n\u2514\u2500\u2500 \u4ee3\u7801\u8bf4\u660e.txt<\/code><\/pre>\n\n\n\n<p>\u6ce8\uff1a<code>demo*.m<\/code> \u4e3a\u811a\u672c\u6587\u4ef6\uff0c\u53ef\u4ee5\u76f4\u63a5\u8fd0\u884c\uff1b<code>Fun*.m<\/code> \u548c <code>EvaForeEffect.m<\/code> \u4e3a\u51fd\u6570\u6587\u4ef6\uff0c\u4e00\u822c\u4e0d\u76f4\u63a5\u53cc\u51fb\u8fd0\u884c\uff0c\u800c\u662f\u5728\u811a\u672c\u4e2d\u8c03\u7528\u3002<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">1. demoCNNRNNsForecast.m \u6587\u4ef6<\/h6>\n\n\n\n<p>\u8be5\u811a\u672c\u6f14\u793a CNN-RNN \u6df7\u5408\u6a21\u578b\u7684\u5355\u6b65\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6d41\u7a0b\u3002\u6240\u8c13\u5355\u6b65\u9884\u6d4b\uff0c\u5c31\u662f\u7528\u524d <code>lookBack<\/code> \u4e2a\u5386\u53f2\u70b9\u9884\u6d4b\u7d27\u63a5\u7740\u7684\u4e0b\u4e00\u4e2a\u70b9\uff1b\u5728\u6d4b\u8bd5\u9636\u6bb5\uff0c\u6bcf\u4e2a\u6d4b\u8bd5\u6837\u672c\u4ecd\u7136\u4f7f\u7528\u771f\u5b9e\u5386\u53f2\u7a97\u53e3\u4f5c\u4e3a\u8f93\u5165\u3002<\/p>\n\n\n\n<p>\u811a\u672c\u4e3b\u8981\u5b8c\u6210\u4e09\u4ef6\u4e8b\uff1a\u52a0\u8f7d <code>chickenpox.mat<\/code> \u6570\u636e\uff0c\u8bbe\u7f6e <code>options<\/code> \u53c2\u6570\uff0c\u7136\u540e\u8c03\u7528\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">[foreData, foreDataTrain, foreDataVal, net, info] = FunCNNRNNsForecast(data, options);<\/code><\/pre>\n\n\n\n<p>\u7a0b\u5e8f\u8fd0\u884c\u5b8c\u6210\u540e\uff0c\u4f1a\u81ea\u52a8\u5728 <code>figure\/<\/code> \u6587\u4ef6\u5939\u4e0b\u4fdd\u5b58\u5982\u4e0b\u56fe\u50cf\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.khsci.com\/docs\/wp-content\/uploads\/2026\/07\/cnn-rnn-forecast-matlab-single-loss.png\" alt=\"MATLAB \u5355\u6b65\u9884\u6d4b\u6536\u655b\u8fc7\u7a0b\"\/><\/figure>\n\n\n\n<p>\u56fe 1 \u5c55\u793a\u8bad\u7ec3\u635f\u5931\u548c\u9a8c\u8bc1\u635f\u5931\u7684\u53d8\u5316\u3002\u5982\u679c\u9a8c\u8bc1\u635f\u5931\u957f\u671f\u4e0d\u518d\u4e0b\u964d\uff0c\u7a0b\u5e8f\u4f1a\u6839\u636e\u65e9\u505c\u53c2\u6570\u505c\u6b62\u8bad\u7ec3\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.khsci.com\/docs\/wp-content\/uploads\/2026\/07\/cnn-rnn-forecast-matlab-single-test.png\" alt=\"MATLAB \u5355\u6b65\u6d4b\u8bd5\u96c6\u9884\u6d4b\u7ed3\u679c\"\/><\/figure>\n\n\n\n<p>\u56fe 2 \u5c55\u793a\u5355\u6b65\u9884\u6d4b\u6a21\u5f0f\u4e0b\u6d4b\u8bd5\u96c6\u771f\u5b9e\u503c\u4e0e\u9884\u6d4b\u503c\u7684\u5bf9\u6bd4\uff0c\u540c\u65f6\u7ed9\u51fa\u76f8\u5bf9\u8bef\u5dee\u3002\u5b83\u4e3b\u8981\u7528\u4e8e\u89c2\u5bdf\u6a21\u578b\u5728\u672a\u53c2\u4e0e\u8bad\u7ec3\u7684\u672a\u6765\u6570\u636e\u4e0a\u662f\u5426\u4ecd\u80fd\u8ddf\u4f4f\u6574\u4f53\u8d8b\u52bf\u3002<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">2. demoCNNRNNsForecastMul.m \u6587\u4ef6<\/h6>\n\n\n\n<p>\u8be5\u811a\u672c\u6f14\u793a CNN-RNN \u6df7\u5408\u6a21\u578b\u7684\u591a\u6b65\u9012\u5f52\u9884\u6d4b\u6d41\u7a0b\u3002\u591a\u6b65\u9012\u5f52\u9884\u6d4b\u6bd4\u5355\u6b65\u9884\u6d4b\u66f4\u63a5\u8fd1\u771f\u5b9e\u7684\u672a\u6765\u5916\u63a8\uff1a\u6a21\u578b\u5148\u9884\u6d4b\u6d4b\u8bd5\u6bb5\u7b2c\u4e00\u4e2a\u70b9\uff0c\u518d\u628a\u8fd9\u4e2a\u9884\u6d4b\u503c\u653e\u56de\u5386\u53f2\u7a97\u53e3\uff0c\u7ee7\u7eed\u9884\u6d4b\u4e0b\u4e00\u4e2a\u70b9\u3002<\/p>\n\n\n\n<p>\u811a\u672c\u8c03\u7528\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">[foreData, foreDataTrain, foreDataVal, net, info] = FunCNNRNNsForecastMul(data, options);<\/code><\/pre>\n\n\n\n<p>\u591a\u6b65\u9012\u5f52\u9884\u6d4b\u7684\u96be\u70b9\u5728\u4e8e\u8bef\u5dee\u4f1a\u4e00\u6b65\u4e00\u6b65\u7d2f\u79ef\uff0c\u6240\u4ee5\u672c\u7a0b\u5e8f\u989d\u5916\u52a0\u5165\u4e86 <code>baselineMode<\/code>\u3001<code>seasonPeriod<\/code>\u3001<code>residualScale<\/code> \u7b49\u7a33\u5b9a\u53c2\u6570\uff0c\u7528\u4e8e\u5728\u9012\u5f52\u9884\u6d4b\u65f6\u7ed3\u5408\u5b63\u8282\u57fa\u51c6\u4e0e\u6a21\u578b\u8f93\u51fa\uff0c\u51cf\u5c11\u9884\u6d4b\u6f02\u79fb\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.khsci.com\/docs\/wp-content\/uploads\/2026\/07\/cnn-rnn-forecast-matlab-multi-test.png\" alt=\"MATLAB \u591a\u6b65\u9012\u5f52\u6d4b\u8bd5\u7ed3\u679c\"\/><\/figure>\n\n\n\n<p>\u56fe 3 \u5c55\u793a\u6d4b\u8bd5\u6bb5\u591a\u6b65\u9012\u5f52\u9884\u6d4b\u6548\u679c\u3002\u8bfb\u56fe\u65f6\u8981\u6ce8\u610f\uff1a\u8fd9\u91cc\u4e0d\u662f\u6bcf\u4e00\u6b65\u90fd\u5582\u5165\u771f\u5b9e\u6d4b\u8bd5\u503c\uff0c\u800c\u662f\u628a\u524d\u9762\u9884\u6d4b\u51fa\u7684\u7ed3\u679c\u7ee7\u7eed\u4f5c\u4e3a\u540e\u7eed\u8f93\u5165\uff0c\u56e0\u6b64\u6bd4\u5355\u6b65\u9884\u6d4b\u66f4\u96be\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.khsci.com\/docs\/wp-content\/uploads\/2026\/07\/cnn-rnn-forecast-matlab-metrics.png\" alt=\"MATLAB \u8bc4\u4ef7\u6307\u6807\u5bf9\u6bd4\"\/><\/figure>\n\n\n\n<p>\u56fe 4 \u6c47\u603b\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u548c\u6d4b\u8bd5\u96c6\u4e0a\u7684 MAE\u3001MSE\u3001RMSE\u3001MAPE\u3001R\u00b2\u3001R \u7b49\u6307\u6807\uff0c\u4fbf\u4e8e\u5feb\u901f\u5224\u65ad\u6a21\u578b\u662f\u5426\u8fc7\u62df\u5408\u3001\u6d4b\u8bd5\u96c6\u8bef\u5dee\u662f\u5426\u660e\u663e\u504f\u5927\u3002<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">3. FunCNNRNNsForecast.m \u6587\u4ef6<\/h6>\n\n\n\n<p>\u8be5\u51fd\u6570\u662f\u5355\u6b65\u9884\u6d4b\u7684\u6838\u5fc3\u51fd\u6570\u3002<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">[foreData, foreDataTrain, foreDataVal, net, info] = FunCNNRNNsForecast(data, options)<\/code><\/pre>\n\n\n\n<p>\u8f93\u5165\u53c2\u6570\u8bf4\u660e\uff1a<\/p>\n\n\n\n<ul>\n<li><code>data<\/code>\uff1a\u4e00\u7ef4\u65f6\u95f4\u5e8f\u5217\uff0c\u53ef\u4ee5\u662f\u884c\u5411\u91cf\u3001\u5217\u5411\u91cf\u6216 cell\u3002\u7a0b\u5e8f\u4f1a\u5c06\u5176\u6574\u7406\u6210\u4e00\u6761\u6709\u5e8f\u6570\u503c\u5e8f\u5217\u3002<\/li>\n<li><code>options<\/code>\uff1a\u53c2\u6570\u7ed3\u6784\u4f53\uff0c\u53ef\u4e0d\u4f20\u3002\u4e0d\u4f20\u65f6\u4f7f\u7528\u9ed8\u8ba4\u53c2\u6570\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u8f93\u51fa\u53c2\u6570\u8bf4\u660e\uff1a<\/p>\n\n\n\n<ul>\n<li><code>foreData<\/code>\uff1a\u6d4b\u8bd5\u96c6\u9884\u6d4b\u503c\u3002<\/li>\n<li><code>foreDataTrain<\/code>\uff1a\u8bad\u7ec3\u96c6\u9884\u6d4b\u503c\u3002<\/li>\n<li><code>foreDataVal<\/code>\uff1a\u9a8c\u8bc1\u96c6\u9884\u6d4b\u503c\u3002<\/li>\n<li><code>net<\/code>\uff1a\u8bad\u7ec3\u597d\u7684 MATLAB \u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002<\/li>\n<li><code>info<\/code>\uff1a\u8bad\u7ec3\u8fc7\u7a0b\u3001\u6570\u636e\u5212\u5206\u3001\u5f52\u4e00\u5316\u53c2\u6570\u3001\u8bc4\u4ef7\u6307\u6807\u7b49\u4fe1\u606f\u3002<\/li>\n<\/ul>\n\n\n\n<p><code>options<\/code> \u9010\u9879\u8bf4\u660e\u5982\u4e0b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th style=\"text-align:left\">\u53c2\u6570\u540d<\/th>\n<th style=\"text-align:left\">\u9ed8\u8ba4\u503c<\/th>\n<th style=\"text-align:left\">\u542b\u4e49\u4e0e\u8c03\u53c2\u8bf4\u660e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align:left\"><code>lookBack<\/code><\/td>\n<td style=\"text-align:left\"><code>12<\/code><\/td>\n<td style=\"text-align:left\">\u6ed1\u52a8\u7a97\u53e3\u957f\u5ea6\uff0c\u8868\u793a\u7528\u524d\u591a\u5c11\u4e2a\u65f6\u95f4\u70b9\u9884\u6d4b\u4e0b\u4e00\u4e2a\u70b9\u3002\u7a97\u53e3\u592a\u77ed\u53ef\u80fd\u770b\u4e0d\u5230\u5468\u671f\u548c\u6ede\u540e\u5173\u7cfb\uff0c\u592a\u957f\u4f1a\u589e\u52a0\u6a21\u578b\u590d\u6742\u5ea6\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>rTrain<\/code><\/td>\n<td style=\"text-align:left\"><code>0.8<\/code><\/td>\n<td style=\"text-align:left\">\u8bad\u7ec3+\u9a8c\u8bc1\u6570\u636e\u5360\u539f\u59cb\u5e8f\u5217\u7684\u6bd4\u4f8b\u3002\u5269\u4f59\u90e8\u5206\u4f5c\u4e3a\u6700\u7ec8\u6d4b\u8bd5\u96c6\uff0c\u6309\u65f6\u95f4\u987a\u5e8f\u5207\u5206\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>validationRatio<\/code><\/td>\n<td style=\"text-align:left\"><code>0.15<\/code><\/td>\n<td style=\"text-align:left\">\u5728\u8bad\u7ec3+\u9a8c\u8bc1\u6570\u636e\u4e2d\u518d\u5207\u51fa\u591a\u5c11\u4f5c\u4e3a\u9a8c\u8bc1\u96c6\uff0c\u7528\u4e8e\u65e9\u505c\u548c\u8c03\u53c2\u53c2\u8003\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>shuffle<\/code><\/td>\n<td style=\"text-align:left\"><code>true<\/code><\/td>\n<td style=\"text-align:left\">\u662f\u5426\u6253\u4e71\u8bad\u7ec3\u7a97\u53e3\u7684 mini-batch \u987a\u5e8f\u3002\u5b83\u4e0d\u4f1a\u6539\u53d8\u8bad\u7ec3\u96c6\u3001\u9a8c\u8bc1\u96c6\u3001\u6d4b\u8bd5\u96c6\u7684\u65f6\u95f4\u987a\u5e8f\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>seed<\/code><\/td>\n<td style=\"text-align:left\"><code>42<\/code><\/td>\n<td style=\"text-align:left\">\u968f\u673a\u79cd\u5b50\u3002\u8bbe\u4e3a 0 \u8868\u793a\u4e0d\u56fa\u5b9a\u968f\u673a\u6027\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>networkType<\/code><\/td>\n<td style=\"text-align:left\"><code>&#039;LSTM&#039;<\/code><\/td>\n<td style=\"text-align:left\">RNN \u5c42\u7c7b\u578b\uff0c\u53ef\u9009 <code>&#039;LSTM&#039;<\/code>\u3001<code>&#039;GRU&#039;<\/code>\u3001<code>&#039;BiLSTM&#039;<\/code>\u3002LSTM \u8f83\u7a33\uff0cGRU \u53c2\u6570\u66f4\u5c11\uff0cBiLSTM \u53ef\u540c\u65f6\u5229\u7528\u7a97\u53e3\u5185\u6b63\u53cd\u65b9\u5411\u4fe1\u606f\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>convChannels<\/code><\/td>\n<td style=\"text-align:left\"><code>16<\/code><\/td>\n<td style=\"text-align:left\">1D CNN \u5377\u79ef\u8f93\u51fa\u901a\u9053\u6570\u3002\u8d8a\u5927\u8868\u793a\u53ef\u63d0\u53d6\u66f4\u591a\u5c40\u90e8\u6a21\u5f0f\uff0c\u4f46\u66f4\u5bb9\u6613\u8fc7\u62df\u5408\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>kernelSize<\/code><\/td>\n<td style=\"text-align:left\"><code>3<\/code><\/td>\n<td style=\"text-align:left\">1D \u5377\u79ef\u6838\u5927\u5c0f\uff0c\u5fc5\u987b\u4e3a\u6b63\u5947\u6570\u3002\u8f83\u5c0f\u5377\u79ef\u6838\u5173\u6ce8\u77ed\u671f\u5c40\u90e8\u6ce2\u52a8\uff0c\u8f83\u5927\u5377\u79ef\u6838\u8986\u76d6\u66f4\u5bbd\u5c40\u90e8\u8303\u56f4\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>poolSize<\/code><\/td>\n<td style=\"text-align:left\"><code>2<\/code><\/td>\n<td style=\"text-align:left\">\u6700\u5927\u6c60\u5316\u7a97\u53e3\u3002\u8bbe\u4e3a 1 \u8868\u793a\u4e0d\u6c60\u5316\uff1b\u6c60\u5316\u4f1a\u538b\u7f29\u5e8f\u5217\u957f\u5ea6\uff0c\u589e\u5f3a\u5c40\u90e8\u9c81\u68d2\u6027\uff0c\u4f46\u8fc7\u5927\u53ef\u80fd\u4e22\u5931\u7ec6\u8282\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>rnnHidden<\/code><\/td>\n<td style=\"text-align:left\"><code>32<\/code><\/td>\n<td style=\"text-align:left\">RNN \u9690\u85cf\u5355\u5143\u6570\u3002\u8d8a\u5927\u6a21\u578b\u8868\u8fbe\u80fd\u529b\u8d8a\u5f3a\uff0c\u8bad\u7ec3\u65f6\u95f4\u548c\u8fc7\u62df\u5408\u98ce\u9669\u4e5f\u8d8a\u9ad8\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>dropoutProb<\/code><\/td>\n<td style=\"text-align:left\"><code>0.1<\/code><\/td>\n<td style=\"text-align:left\">Dropout \u6982\u7387\uff0c\u7528\u4e8e\u51cf\u8f7b\u8fc7\u62df\u5408\u3002\u53d6\u503c\u8303\u56f4\u4e3a <code>[0,1)<\/code>\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>maxEpochs<\/code><\/td>\n<td style=\"text-align:left\"><code>200<\/code><\/td>\n<td style=\"text-align:left\">\u6700\u5927\u8bad\u7ec3\u8f6e\u6570\u3002\u8f6e\u6570\u592a\u5c11\u53ef\u80fd\u6b20\u62df\u5408\uff0c\u592a\u591a\u53ef\u80fd\u6d6a\u8d39\u65f6\u95f4\u6216\u8fc7\u62df\u5408\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>miniBatchSize<\/code><\/td>\n<td style=\"text-align:left\"><code>32<\/code><\/td>\n<td style=\"text-align:left\">\u5c0f\u6279\u91cf\u5927\u5c0f\u3002\u8f83\u5c0f batch \u66f4\u65b0\u66f4\u9891\u7e41\uff0c\u8f83\u5927 batch \u8bad\u7ec3\u66f4\u5e73\u6ed1\u4f46\u5360\u5185\u5b58\u66f4\u591a\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>gradientThreshold<\/code><\/td>\n<td style=\"text-align:left\"><code>1<\/code><\/td>\n<td style=\"text-align:left\">\u68af\u5ea6\u88c1\u526a\u9608\u503c\uff0c\u7528\u4e8e\u9632\u6b62\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u68af\u5ea6\u8fc7\u5927\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>initialLearnRate<\/code><\/td>\n<td style=\"text-align:left\"><code>0.005<\/code><\/td>\n<td style=\"text-align:left\">\u521d\u59cb\u5b66\u4e60\u7387\u3002\u5b66\u4e60\u7387\u8fc7\u5927\u5bb9\u6613\u9707\u8361\uff0c\u8fc7\u5c0f\u6536\u655b\u6162\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>learnRateSchedule<\/code><\/td>\n<td style=\"text-align:left\"><code>&#039;piecewise&#039;<\/code><\/td>\n<td style=\"text-align:left\">\u5b66\u4e60\u7387\u8c03\u5ea6\u65b9\u5f0f\uff0c\u53ef\u9009 <code>&#039;piecewise&#039;<\/code> \u6216 <code>&#039;none&#039;<\/code>\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>learnRateDropPeriod<\/code><\/td>\n<td style=\"text-align:left\"><code>50<\/code><\/td>\n<td style=\"text-align:left\">\u5f53\u4f7f\u7528\u5206\u6bb5\u4e0b\u964d\u5b66\u4e60\u7387\u65f6\uff0c\u6bcf\u9694\u591a\u5c11\u8f6e\u4e0b\u964d\u4e00\u6b21\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>learnRateDropFactor<\/code><\/td>\n<td style=\"text-align:left\"><code>0.5<\/code><\/td>\n<td style=\"text-align:left\">\u5b66\u4e60\u7387\u4e0b\u964d\u7cfb\u6570\u3002\u4f8b\u5982 0.5 \u8868\u793a\u4e0b\u964d\u4e3a\u539f\u6765\u7684\u4e00\u534a\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>l2Regularization<\/code><\/td>\n<td style=\"text-align:left\"><code>1e-4<\/code><\/td>\n<td style=\"text-align:left\">L2 \u6b63\u5219\u5316\u7cfb\u6570\uff0c\u7528\u4e8e\u6291\u5236\u8fc7\u62df\u5408\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>validationPatience<\/code><\/td>\n<td style=\"text-align:left\"><code>30<\/code><\/td>\n<td style=\"text-align:left\">\u9a8c\u8bc1\u96c6\u65e9\u505c\u5bb9\u5fcd\u8f6e\u6570\u3002\u9a8c\u8bc1\u635f\u5931\u957f\u65f6\u95f4\u4e0d\u6539\u5584\u65f6\u63d0\u524d\u505c\u6b62\u8bad\u7ec3\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>mapflag<\/code><\/td>\n<td style=\"text-align:left\"><code>&#039;on&#039;<\/code><\/td>\n<td style=\"text-align:left\">\u662f\u5426\u5f52\u4e00\u5316\u3002\u5efa\u8bae\u5f00\u542f\uff1b\u7a0b\u5e8f\u53ea\u7528\u8bad\u7ec3\u96c6\u62df\u5408\u5f52\u4e00\u5316\u53c2\u6570\uff0c\u907f\u514d\u6570\u636e\u6cc4\u9732\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>figflag<\/code><\/td>\n<td style=\"text-align:left\"><code>&#039;on&#039;<\/code><\/td>\n<td style=\"text-align:left\">\u662f\u5426\u7ed8\u5236\u7ed3\u679c\u56fe\u3002\u8bbe\u4e3a <code>&#039;on&#039;<\/code> \u65f6\uff0c\u6bcf\u5f20\u7ed3\u679c\u56fe\u4f1a\u5206\u522b\u5f39\u51fa\uff0c\u5e76\u81ea\u52a8\u4fdd\u5b58\u5230 <code>figure\/<\/code> \u6587\u4ef6\u5939\uff1b\u8bbe\u4e3a <code>&#039;off&#039;<\/code> \u65f6\u4e0d\u7ed8\u56fe\u4e5f\u4e0d\u4fdd\u5b58\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>executionEnvironment<\/code><\/td>\n<td style=\"text-align:left\"><code>&#039;auto&#039;<\/code><\/td>\n<td style=\"text-align:left\">\u8bad\u7ec3\u8bbe\u5907\uff0c\u53ef\u9009 <code>&#039;auto&#039;<\/code>\u3001<code>&#039;cpu&#039;<\/code>\u3001<code>&#039;gpu&#039;<\/code>\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>plots<\/code><\/td>\n<td style=\"text-align:left\"><code>&#039;none&#039;<\/code><\/td>\n<td style=\"text-align:left\">\u662f\u5426\u5f39\u51fa MATLAB \u8bad\u7ec3\u8fc7\u7a0b\u7a97\u53e3\uff0c\u53ef\u9009 <code>&#039;none&#039;<\/code>\u3001<code>&#039;training-progress&#039;<\/code>\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h6 class=\"wp-block-heading\">4. FunCNNRNNsForecastMul.m \u6587\u4ef6<\/h6>\n\n\n\n<p>\u8be5\u51fd\u6570\u662f\u591a\u6b65\u9012\u5f52\u9884\u6d4b\u7684\u6838\u5fc3\u51fd\u6570\u3002<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">[foreData, foreDataTrain, foreDataVal, net, info] = FunCNNRNNsForecastMul(data, options)<\/code><\/pre>\n\n\n\n<p>\u5b83\u7684\u5927\u90e8\u5206\u53c2\u6570\u4e0e\u5355\u6b65\u9884\u6d4b\u51fd\u6570\u4e00\u81f4\uff0c\u533a\u522b\u5728\u4e8e\u6d4b\u8bd5\u9636\u6bb5\u91c7\u7528\u9012\u5f52\u6eda\u52a8\u9884\u6d4b\uff1a\u5148\u9884\u6d4b\u7b2c 1 \u4e2a\u6d4b\u8bd5\u70b9\uff0c\u518d\u628a\u9884\u6d4b\u503c\u653e\u56de\u7a97\u53e3\u9884\u6d4b\u7b2c 2 \u4e2a\u6d4b\u8bd5\u70b9\uff0c\u76f4\u5230\u5b8c\u6210\u6574\u4e2a\u6d4b\u8bd5\u6bb5\u3002<\/p>\n\n\n\n<p>\u591a\u6b65\u7248\u989d\u5916\u53c2\u6570\u5982\u4e0b\u3002<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th style=\"text-align:left\">\u53c2\u6570\u540d<\/th>\n<th style=\"text-align:left\">\u9ed8\u8ba4\u503c<\/th>\n<th style=\"text-align:left\">\u542b\u4e49\u4e0e\u8c03\u53c2\u8bf4\u660e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align:left\"><code>baselineMode<\/code><\/td>\n<td style=\"text-align:left\"><code>&#039;seasonal&#039;<\/code><\/td>\n<td style=\"text-align:left\">\u9012\u5f52\u9884\u6d4b\u65f6\u7684\u57fa\u51c6\u65b9\u5f0f\uff0c\u53ef\u9009 <code>&#039;seasonal&#039;<\/code> \u6216 <code>&#039;last&#039;<\/code>\u3002<code>&#039;seasonal&#039;<\/code> \u8868\u793a\u53c2\u8003\u540c\u5468\u671f\u5386\u53f2\u70b9\uff0c<code>&#039;last&#039;<\/code> \u8868\u793a\u53c2\u8003\u7a97\u53e3\u6700\u540e\u4e00\u4e2a\u70b9\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>seasonPeriod<\/code><\/td>\n<td style=\"text-align:left\"><code>[]<\/code><\/td>\n<td style=\"text-align:left\">\u5b63\u8282\u5468\u671f\u3002\u4e3a\u7a7a\u65f6\u9ed8\u8ba4\u7b49\u4e8e <code>lookBack<\/code>\u3002\u5bf9\u4e8e\u6708\u5ea6\u6570\u636e\uff0c\u5e38\u7528 12\u3002<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\"><code>residualScale<\/code><\/td>\n<td style=\"text-align:left\"><code>&#039;auto&#039;<\/code><\/td>\n<td style=\"text-align:left\">\u6a21\u578b\u4fee\u6b63\u91cf\u6bd4\u4f8b\u3002\u8bbe\u4e3a <code>&#039;auto&#039;<\/code> \u65f6\uff0c\u7a0b\u5e8f\u53ea\u4f7f\u7528\u9a8c\u8bc1\u96c6\u5728\u5019\u9009\u5f3a\u5ea6\u4e2d\u81ea\u52a8\u9009\u62e9\uff0c\u907f\u514d\u5077\u770b\u6d4b\u8bd5\u96c6\uff1b\u4e5f\u53ef\u4ee5\u624b\u52a8\u586b\u5199 <code>[0,1]<\/code> \u5185\u7684\u6570\u503c\u3002\u8d8a\u63a5\u8fd1 1 \u8d8a\u76f8\u4fe1\u6a21\u578b\u8f93\u51fa\uff0c\u8d8a\u63a5\u8fd1 0 \u8d8a\u8d34\u8fd1\u57fa\u51c6\u5e8f\u5217\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<h6 class=\"wp-block-heading\">5. EvaForeEffect.m \u6587\u4ef6<\/h6>\n\n\n\n<p>\u8be5\u51fd\u6570\u7528\u4e8e\u8ba1\u7b97\u9884\u6d4b\u8bc4\u4ef7\u6307\u6807\u3002<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">ind = EvaForeEffect(realData, foreData, indNamesCell)<\/code><\/pre>\n\n\n\n<p>\u8f93\u5165\u53c2\u6570\uff1a<\/p>\n\n\n\n<ul>\n<li><code>realData<\/code>\uff1a\u771f\u5b9e\u503c\u3002<\/li>\n<li><code>foreData<\/code>\uff1a\u9884\u6d4b\u503c\u3002<\/li>\n<li><code>indNamesCell<\/code>\uff1a\u9700\u8981\u8ba1\u7b97\u7684\u6307\u6807\u540d\u79f0\uff0c\u4f8b\u5982 <code>{&#039;MAE&#039;,&#039;MSE&#039;,&#039;RMSE&#039;,&#039;MAPE&#039;,&#039;R2&#039;,&#039;R&#039;}<\/code>\u3002<\/li>\n<\/ul>\n\n\n\n<p>\u8f93\u51fa\u53c2\u6570\uff1a<\/p>\n\n\n\n<ul>\n<li><code>ind<\/code>\uff1a\u5404\u6307\u6807\u8ba1\u7b97\u7ed3\u679c\uff0c\u987a\u5e8f\u4e0e <code>indNamesCell<\/code> \u4e00\u4e00\u5bf9\u5e94\u3002<\/li>\n<\/ul>\n\n\n\n<h6 class=\"wp-block-heading\">6. chickenpox.mat \u6587\u4ef6<\/h6>\n\n\n\n<p>\u793a\u4f8b\u6570\u636e\u6587\u4ef6\uff0c\u5305\u542b\u4e00\u6761\u4e00\u7ef4\u6708\u5ea6\u65f6\u95f4\u5e8f\u5217\u3002\u5b9e\u9645\u4f7f\u7528\u65f6\uff0c\u53ef\u4ee5\u628a\u8fd9\u91cc\u66ff\u6362\u4e3a\u81ea\u5df1\u7684 Excel\u3001CSV\u3001TXT\u3001MAT \u6587\u4ef6\u4e2d\u7684\u4e00\u7ef4\u5e8f\u5217\u3002<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">7. figure \u6587\u4ef6\u5939<\/h6>\n\n\n\n<p>\u7a0b\u5e8f\u8fd0\u884c\u540e\u81ea\u52a8\u751f\u6210\uff0c\u91cc\u9762\u4fdd\u5b58\u6536\u655b\u56fe\u3001\u8bad\u7ec3\u96c6\u9884\u6d4b\u56fe\u3001\u9a8c\u8bc1\u96c6\u9884\u6d4b\u56fe\u3001\u6d4b\u8bd5\u96c6\u9884\u6d4b\u56fe\u3001\u591a\u6b65\u9012\u5f52\u9884\u6d4b\u56fe\u548c\u6307\u6807\u5bf9\u6bd4\u56fe\u3002\u5b8c\u6574\u7248\u56fe\u50cf\u65e0\u6c34\u5370\uff0c\u516c\u5f00\u7248\u56fe\u50cf\u5e26\u6709\u8bd5\u7528\u7248\u6c34\u5370\u3002<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">8. \u4ee3\u7801\u8bf4\u660e.txt \u6587\u4ef6<\/h6>\n\n\n\n<p>\u7b80\u8981\u8bf4\u660e\u4ee3\u7801\u6587\u4ef6\u7ec4\u6210\u3001\u8fd0\u884c\u5165\u53e3\u548c\u6ce8\u610f\u4e8b\u9879\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u4e09\u3001\u5feb\u901f\u5f00\u59cb<\/h4>\n\n\n\n<h6 class=\"wp-block-heading\">1. \u8fd0\u884c\u6d4b\u8bd5\u811a\u672c<\/h6>\n\n\n\n<p>\u5148\u5728 MATLAB \u4e2d\u6253\u5f00\u4e0b\u8f7d\u597d\u7684\u4ee3\u7801\u6587\u4ef6\u5939\uff0c\u7136\u540e\u8fd0\u884c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">demoCNNRNNsForecast<\/code><\/pre>\n\n\n\n<p>\u5982\u679c\u9700\u8981\u6d4b\u8bd5\u591a\u6b65\u9012\u5f52\u9884\u6d4b\uff0c\u518d\u8fd0\u884c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">demoCNNRNNsForecastMul<\/code><\/pre>\n\n\n\n<p>\u7a0b\u5e8f\u6b63\u5e38\u8fd0\u884c\u540e\uff0c\u4f1a\u5728\u547d\u4ee4\u884c\u7a97\u53e3\u6253\u5370\u7f51\u7edc\u7ed3\u6784\u3001\u6570\u636e\u5212\u5206\u548c\u8bc4\u4ef7\u6307\u6807\uff0c\u5e76\u5728 <code>figure\/<\/code> \u6587\u4ef6\u5939\u4e2d\u4fdd\u5b58\u7ed3\u679c\u56fe\u3002<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">2. \u66ff\u6362\u6210\u81ea\u5df1\u7684\u6570\u636e<\/h6>\n\n\n\n<p>\u590d\u5236\u4e00\u4e2a demo \u811a\u672c\u526f\u672c\uff0c\u5728\u526f\u672c\u4e2d\u4fee\u6539\u6570\u636e\u52a0\u8f7d\u90e8\u5206\u5373\u53ef\u3002\u4f8b\u5982\u4f60\u7684\u6570\u636e\u662f\u4e00\u5217\u65f6\u95f4\u5e8f\u5217\uff0c\u53ea\u9700\u8981\u628a\u5b83\u8bfb\u5165\u4e3a\u4e00\u4e2a\u5411\u91cf\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">data = yourData(:);<\/code><\/pre>\n\n\n\n<p>\u7136\u540e\u4fdd\u6301\u540e\u9762\u7684\u51fd\u6570\u8c03\u7528\u4e0d\u53d8\u3002<\/p>\n\n\n\n<p>\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u4e0d\u5efa\u8bae\u968f\u673a\u62bd\u53d6\u6700\u540e\u6d4b\u8bd5\u96c6\u3002\u7a0b\u5e8f\u9ed8\u8ba4\u6309\u65f6\u95f4\u987a\u5e8f\u5207\u5206\uff1a\u524d\u9762\u4e00\u6bb5\u7528\u4e8e\u8bad\u7ec3\u548c\u9a8c\u8bc1\uff0c\u6700\u540e\u4e00\u6bb5\u4f5c\u4e3a\u6d4b\u8bd5\u96c6\uff0c\u8fd9\u6837\u66f4\u63a5\u8fd1\u771f\u5b9e\u9884\u6d4b\u573a\u666f\u3002<\/p>\n\n\n\n<h6 class=\"wp-block-heading\">3. \u8c03\u6574\u5e38\u7528\u53c2\u6570<\/h6>\n\n\n\n<p>\u6700\u5e38\u6539\u7684\u53c2\u6570\u901a\u5e38\u662f\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">options.lookBack = 12;\noptions.networkType = &#039;LSTM&#039;;\noptions.convChannels = 16;\noptions.rnnHidden = 32;\noptions.maxEpochs = 200;\noptions.initialLearnRate = 0.005;\noptions.figflag = &#039;on&#039;;<\/code><\/pre>\n\n\n\n<p>\u5982\u679c\u505a\u591a\u6b65\u9012\u5f52\u9884\u6d4b\uff0c\u8fd8\u53ef\u4ee5\u91cd\u70b9\u8c03\u6574\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-prismatic-blocks\"><code class=\"language-matlab\">options.baselineMode = &#039;seasonal&#039;;\noptions.seasonPeriod = 12;\noptions.residualScale = &#039;auto&#039;;  % \u53ea\u7528\u9a8c\u8bc1\u96c6\u81ea\u52a8\u9009\u62e9\u4fee\u6b63\u5f3a\u5ea6\uff0c\u907f\u514d\u5077\u770b\u6d4b\u8bd5\u96c6<\/code><\/pre>\n\n\n\n<p>\u5f53\u591a\u6b65\u9884\u6d4b\u66f2\u7ebf\u6f02\u79fb\u660e\u663e\u65f6\uff0c\u5efa\u8bae\u5148\u4f7f\u7528 <code>residualScale=&#039;auto&#039;<\/code>\u3002\u7a0b\u5e8f\u4f1a\u53ea\u6839\u636e\u9a8c\u8bc1\u96c6\u8868\u73b0\u9009\u62e9\u4fee\u6b63\u5f3a\u5ea6\uff0c\u4e0d\u4f1a\u5229\u7528\u6d4b\u8bd5\u96c6\u8c03\u53c2\uff1b\u4e5f\u53ef\u4ee5\u624b\u52a8\u8c03\u5c0f\u8be5\u53c2\u6570\uff0c\u6216\u8005\u589e\u52a0\u8bad\u7ec3\u6570\u636e\u91cf\u3001\u8c03\u6574 <code>lookBack<\/code> \u4e0e <code>seasonPeriod<\/code>\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u56db\u3001\u5173\u4e8e\u5b8c\u6574\u7248\u4e0e\u516c\u5f00\u7248\u4ee3\u7801<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table>\n<thead>\n<tr>\n<th style=\"text-align:left\">\u529f\u80fd<\/th>\n<th style=\"text-align:center\">\u5b8c\u6574\u7248<\/th>\n<th style=\"text-align:center\">\u516c\u5f00\u7248<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td style=\"text-align:left\">\u5355\u6b65\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u591a\u6b65\u9012\u5f52\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u793a\u4f8b\u6570\u636e\u4e0e demo \u811a\u672c<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u6838\u5fc3\u51fd\u6570\u6e90\u7801<\/td>\n<td style=\"text-align:center\">\u63d0\u4f9b<\/td>\n<td style=\"text-align:center\">\u4e0d\u63d0\u4f9b<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u81ea\u52a8\u4fdd\u5b58\u7ed3\u679c\u56fe<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u7ed3\u679c\u56fe\u6c34\u5370<\/td>\n<td style=\"text-align:center\">\u65e0\u6c34\u5370<\/td>\n<td style=\"text-align:center\">\u6709 <code>\u8bd5\u7528\u7248@khsci.com\/docs<\/code> \u6c34\u5370<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u6570\u636e\u957f\u5ea6\u9650\u5236<\/td>\n<td style=\"text-align:center\">\u65e0\u9650\u5236<\/td>\n<td style=\"text-align:center\">\u6700\u591a 100 \u4e2a\u65f6\u95f4\u70b9<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u6700\u5927\u8bad\u7ec3\u8f6e\u6570<\/td>\n<td style=\"text-align:center\">\u65e0\u9650\u5236<\/td>\n<td style=\"text-align:center\">\u6700\u591a 50 \u8f6e<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u53ef\u5bfc\u51fa\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u3001\u9884\u6d4b\u7ed3\u679c\u548c info \u4fe1\u606f<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<td style=\"text-align:center\">\u90e8\u5206\u53d7\u9650<\/td>\n<\/tr>\n<tr>\n<td style=\"text-align:left\">\u9002\u5408\u6b63\u5f0f\u9879\u76ee\u548c\u4e8c\u6b21\u4fee\u6539<\/td>\n<td style=\"text-align:center\">\u221a<\/td>\n<td style=\"text-align:center\">\u4ec5\u9002\u5408\u4f53\u9a8c\u6d41\u7a0b<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n\n\n<p>\u516c\u5f00\u7248\u4e3b\u8981\u7528\u4e8e\u786e\u8ba4\u8fd0\u884c\u73af\u5883\u3001\u67e5\u770b\u7a0b\u5e8f\u8c03\u7528\u65b9\u5f0f\u548c\u4f53\u9a8c\u57fa\u672c\u6d41\u7a0b\u3002\u6b63\u5f0f\u9879\u76ee\u5efa\u8bae\u4f7f\u7528\u5b8c\u6574\u7248\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u4e94\u3001\u83b7\u53d6\u516c\u5f00\u7248\u7a0b\u5e8f<\/h4>\n\n\n\n<blockquote class=\"wp-block-quote\">\n<p><strong>\u516c\u5f00\u7248\u4e0b\u8f7d\uff1a<\/strong> <a href=\"https:\/\/www.khsci.com\/docs\/wp-content\/uploads\/2026\/07\/CNN_RNNs_Forecast_MATLAB_%E8%AF%95%E7%94%A8%E7%89%88_V267i4i2z.zip\">\u70b9\u51fb\u6b64\u5904\u4e0b\u8f7d CNN-RNN \u65f6\u95f4\u5e8f\u5217\u9884\u6d4b MATLAB \u516c\u5f00\u7248\u4ee3\u7801<\/a><\/p>\n<\/blockquote>\n\n\n\n<p>\u6ce8\uff1a\u516c\u5f00\u7248\u4ee3\u7801\u5305\u542b\u6f14\u793a\u811a\u672c\u3001\u793a\u4f8b\u6570\u636e\u548c\u8fd0\u884c\u6240\u9700\u6587\u4ef6\u3002\u516c\u5f00\u7248\u6700\u591a\u652f\u6301 100 \u4e2a\u65f6\u95f4\u70b9\uff0c\u6700\u5927\u8bad\u7ec3\u8f6e\u6570\u4e3a 50\uff0c\u7ed3\u679c\u56fe\u5e26\u6709\u8bd5\u7528\u7248\u6c34\u5370\u3002<\/p>\n\n\n\n<h4 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