{"id":1396,"date":"2024-09-05T07:09:00","date_gmt":"2024-09-04T23:09:00","guid":{"rendered":"https:\/\/blog.laoyulaoyu.top\/?p=1396"},"modified":"2024-08-31T00:11:11","modified_gmt":"2024-08-30T16:11:11","slug":"%e4%bd%bf%e7%94%a8%e5%a0%86%e5%8f%a0-lstm-%e6%a8%a1%e5%9e%8b%e9%a2%84%e6%b5%8b%e5%b8%82%e5%9c%ba%e8%b6%8b%e5%8a%bf","status":"publish","type":"post","link":"https:\/\/blog.laoyulaoyu.top\/index.php\/2024\/09\/05\/%e4%bd%bf%e7%94%a8%e5%a0%86%e5%8f%a0-lstm-%e6%a8%a1%e5%9e%8b%e9%a2%84%e6%b5%8b%e5%b8%82%e5%9c%ba%e8%b6%8b%e5%8a%bf\/","title":{"rendered":"\u4f7f\u7528\u5806\u53e0 LSTM \u6a21\u578b\u9884\u6d4b\u5e02\u573a\u8d8b\u52bf"},"content":{"rendered":"\n<p>\u4f5c\u8005\uff1a<a href=\"https:\/\/www.laoyulaoyu.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u8001\u4f59\u635e\u9c7c<\/a><\/p>\n\n\n\n<p><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-cyan-bluish-gray-color\">\u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002<\/mark><\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/www.laoyulaoyu.com\/wp-content\/uploads\/2024\/08\/6c224f4a20a44623b39dceee892860040df3d7ff.webp\" alt=\"\" class=\"wp-image-1369\"\/><figcaption class=\"wp-element-caption\">\u7528\u795e\u7ecf\u7f51\u7edc\u5206\u6790\u5386\u53f2\u6570\u636e\uff0c\u6539\u8fdb\u5e02\u573a\u9884\u6d4b<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"4764\"><\/h2>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<pre class=\"wp-block-verse\"><strong>\u5199\u5728\u524d\u9762\u7684\u8bdd\uff1a<\/strong>\u672c\u6587\u4e3b\u8981\u4ecb\u7ecd\u9884\u6d4b\u5e02\u573a\u8d8b\u52bf\u7684\u4e00\u79cd\u7814\u7a76\u65b9\u6cd5\uff0c\u8fd9\u4e00\u7814\u7a76\u7684\u91cd\u70b9\u662f\u5229\u7528\u5806\u6808\u5f0f\u957f\u77ed\u671f\u8bb0\u5fc6\uff08LSTM\uff09\u7f51\u7edc\u9884\u6d4b\u80a1\u7968\u4ef7\u683c\u3002<mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-vivid-cyan-blue-color\">\u8fd9\u79cd\u65b9\u6cd5\u5229\u7528\u5148\u8fdb\u7684\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff0c\u6839\u636e\u5386\u53f2\u4ef7\u683c\u6570\u636e\u5206\u6790\u548c\u9884\u6d4b\u5e02\u573a\u8d8b\u52bf\u3002<\/mark>\u5e76\u5c55\u793a\u4e86\u5982\u4f55\u901a\u8fc7 Python \u7f16\u7a0b\u73af\u5883\u4e2d\u7684\u6570\u636e\u9884\u5904\u7406\u3001\u6a21\u578b\u6784\u5efa\u3001\u8bad\u7ec3\u548c\u9884\u6d4b\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002<\/pre>\n<\/blockquote>\n\n\n\n<p id=\"789a\">\u80a1\u7968\u4ef7\u683c\u9884\u6d4b\u662f\u91d1\u878d\u5206\u6790\u7684\u4e00\u4e2a\u91cd\u8981\u65b9\u9762\uff0c\u5b83\u80fd\u5e2e\u52a9\u6295\u8d44\u8005\u548c\u91d1\u878d\u4e13\u4e1a\u4eba\u58eb\u505a\u51fa\u660e\u667a\u7684\u51b3\u7b56\u3002\u5806\u53e0 LSTM \u7f51\u7edc\u4ee5\u5176\u6355\u6349\u65f6\u95f4\u4f9d\u8d56\u6027\u7684\u80fd\u529b\u800c\u8457\u79f0\uff0c\u7279\u522b\u9002\u5408\u8fd9\u9879\u4efb\u52a1\u3002\u901a\u8fc7\u5806\u53e0\u591a\u4e2a LSTM \u5c42\uff0c\u8be5\u6a21\u578b\u589e\u5f3a\u4e86\u5b66\u4e60\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u590d\u6742\u6a21\u5f0f\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.preprocessing import MinMaxScaler\nfrom tensorflow.keras.models import Sequential\nfrom tensorflow.keras.layers import Dense, LSTM<\/code><\/pre>\n\n\n\n<p id=\"5038\">\u672c\u4ee3\u7801\u7247\u6bb5\u4ecb\u7ecd\u4e86\u5728 Python \u7f16\u7a0b\u73af\u5883\u4e2d\u5e7f\u6cdb\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u7684\u51e0\u4e2a\u5e93\u3002<\/p>\n\n\n\n<p id=\"b124\">Pandas \u4ee5 pd \u7684\u5f62\u5f0f\u5bfc\u5165\uff0c\u63d0\u4f9b\u4e86\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u57fa\u672c\u529f\u80fd\uff0c\u5c24\u5176\u662f\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\uff08\u5982 DataFrames\uff09\u7684\u529f\u80fd\u3002\u8fd9\u4e00\u529f\u80fd\u5bf9\u4e8e\u51c6\u5907\u5efa\u6a21\u7684\u6570\u636e\u96c6\u81f3\u5173\u91cd\u8981\u3002NumPy \u4ee5 np \u7684\u5f62\u5f0f\u5bfc\u5165\uff0c\u662f Python \u4e2d\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u7684\u57fa\u672c\u8f6f\u4ef6\u5305\u3002\u5b83\u53ef\u4ee5\u5bf9\u6570\u7ec4\u548c\u77e9\u9635\u8fdb\u884c\u64cd\u4f5c\uff0c\u8fd9\u4e9b\u64cd\u4f5c\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u6a21\u578b\u4e2d\u7684\u6570\u636e\u64cd\u4f5c\u548c\u6570\u5b66\u51fd\u6570\u6765\u8bf4\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002<br>Matplotlibs pyplot \u662f\u4ee5 plt \u7684\u5f62\u5f0f\u5bfc\u5165\u7684\uff0c\u5b83\u662f\u4e00\u4e2a\u4e13\u4e3a\u5728 Python \u4e2d\u521b\u5efa\u9759\u6001\u3001\u4ea4\u4e92\u5f0f\u548c\u52a8\u753b\u53ef\u89c6\u5316\u800c\u8bbe\u8ba1\u7684\u5e93\u3002\u8be5\u5e93\u5728\u6570\u636e\u53ef\u89c6\u5316\u65b9\u9762\u53d1\u6325\u7740\u91cd\u8981\u4f5c\u7528\uff0c\u5141\u8bb8\u7528\u6237\u751f\u6210\u56fe\u5f62\u548c\u56fe\u8868\uff0c\u4ee5\u6df1\u5165\u4e86\u89e3\u6570\u636e\u5e76\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u3002<br>MinMaxScaler \u6e90\u81ea sklearn.preprocessing \u6a21\u5757\uff0c\u7528\u4e8e\u5728\u5b9a\u4e49\u7684\u8303\u56f4\u5185\uff08\u901a\u5e38\u5728 0 \u548c 1 \u4e4b\u95f4\uff09\u7f29\u653e\u7279\u5f81\u3002 \u8fd9\u79cd\u7f29\u653e\u8fc7\u7a0b\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u4e00\u4e2a\u91cd\u8981\u7684\u9884\u5904\u7406\u6b65\u9aa4\uff0c\u56e0\u4e3a\u5b83\u80fd\u63d0\u9ad8\u5904\u7406\u8f93\u5165\u6570\u636e\u65f6\u6a21\u578b\u6536\u655b\u7684\u901f\u5ea6\u548c\u51c6\u786e\u6027\u3002<\/p>\n\n\n\n<p id=\"4849\">\u91c7\u7528 TensorFlow \u7684 Keras API \u6765\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u7279\u522b\u662f\u5e8f\u5217\u6a21\u578b\u3002\u8fd9\u79cd\u65b9\u6cd5\u6709\u52a9\u4e8e\u6df1\u5ea6\u5b66\u4e60\u67b6\u6784\u7684\u5f00\u53d1\u3002\u8be5\u6a21\u578b\u7531\u4e0d\u540c\u7684\u5c42\u7ec4\u6210\uff0c\u5305\u62ec\u5168\u8fde\u63a5\u795e\u7ecf\u7f51\u7edc\u5c42&#8211;\u5bc6\u96c6\u5c42\uff0c\u4ee5\u53ca\u4ee3\u8868\u957f\u77ed\u671f\u8bb0\u5fc6\u5c42\u7684 LSTM \u5c42\uff0c\u540e\u8005\u5bf9\u4e8e\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u6216\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u5e8f\u5217\u9884\u6d4b\u4efb\u52a1\u5c24\u4e3a\u6709\u6548\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>plt.plot(df_close)\nplt.show()<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"2763\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*1fZiEhcDjOfUwNLSzMEdGA.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"718a\">\u8fd9\u6bb5\u4ee3\u7801\u662f\u4e3a Python \u4e2d\u7684\u6570\u636e\u53ef\u89c6\u5316\u800c\u8bbe\u8ba1\u7684\uff0c\u7279\u522b\u662f\u7528\u6765\u7ed8\u5236\u7ebf\u5f62\u56fe\uff0c\u8868\u793a\u540d\u4e3a df_close \u7684 DataFrame \u5bf9\u8c61\u4e2d\u5305\u542b\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002\u4e3b\u8981\u529f\u80fd\u662f\u521b\u5efa\u53ef\u89c6\u5316\u8868\u793a\uff0c\u7279\u522b\u662f\u7ebf\u5f62\u56fe\uff0c\u4ee5\u8bf4\u660e\u5b58\u50a8\u5728 df_close DataFrame \u4e2d\u7684\u503c\u3002\u8fd9\u79cd\u53ef\u89c6\u5316\u6548\u679c\u5728\u6570\u636e\u5206\u6790\u4e2d\u5f97\u5230\u5e7f\u6cdb\u5e94\u7528\uff0c\u53ef\u7528\u4e8e\u8bc6\u522b\u968f\u65f6\u95f4\u53d8\u5316\u7684\u8d8b\u52bf\u6216\u6709\u6548\u6bd4\u8f83\u4e0d\u540c\u7684\u6570\u636e\u96c6\u3002\u8be5\u4ee3\u7801\u901a\u8fc7\u4f7f\u7528 Matplotlib \u5e93\u8fdb\u884c\u64cd\u4f5c\uff0c\u7531 plt.plot(df_close) \u547d\u4ee4\u542f\u52a8\u3002\u8be5\u547d\u4ee4\u4f7f\u7528 df_close DataFrame \u4e2d\u7684\u6570\u636e\u751f\u6210\u56fe\u8868\uff0c\u5176\u4e2d x \u8f74\u901a\u5e38\u4ee3\u8868\u65f6\u95f4\uff08\u524d\u63d0\u662f DataFrame \u7684\u7d22\u5f15\u57fa\u4e8e\u65f6\u95f4\uff09\uff0cy \u8f74\u663e\u793a\u76f8\u5e94\u7684\u503c\u3002\u8981\u6e32\u67d3\u548c\u663e\u793a\u521b\u5efa\u7684\u66f2\u7ebf\u56fe\uff0c\u5fc5\u987b\u4f7f\u7528 plt.show() \u51fd\u6570\uff1b\u5982\u679c\u4e0d\u4f7f\u7528\u8be5\u51fd\u6570\uff0c\u66f2\u7ebf\u56fe\u53ef\u80fd\u65e0\u6cd5\u5728\u67d0\u4e9b\u73af\u5883\u4e2d\u663e\u793a\u3002<\/p>\n\n\n\n<p id=\"f0d0\">\u8be5\u4ee3\u7801\u7684\u610f\u4e49\u5728\u4e8e\u5b83\u80fd\u591f\u4fc3\u8fdb\u6570\u636e\u53ef\u89c6\u5316\uff0c\u8fd9\u5728\u6570\u636e\u5206\u6790\u4e2d\u81f3\u5173\u91cd\u8981\u3002\u6570\u636e\u53ef\u89c6\u5316\u53ef\u4ee5\u589e\u5f3a\u5bf9\u6570\u636e\u96c6\u4e2d\u7684\u8d8b\u52bf\u3001\u6a21\u5f0f\u548c\u5f02\u5e38\u7684\u7406\u89e3\u548c\u89e3\u91ca\u3002\u901a\u8fc7\u7ed8\u5236 df_close\uff0c\u7528\u6237\u53ef\u4ee5\u63d0\u53d6\u5230\u4ec5\u901a\u8fc7\u68c0\u67e5\u539f\u59cb\u6570\u5b57\u6570\u636e\u53ef\u80fd\u4e0d\u90a3\u4e48\u660e\u663e\u7684\u6d1e\u5bdf\u529b\u3002\u8fd9\u4e00\u8fc7\u7a0b\u6700\u7ec8\u6709\u52a9\u4e8e\u6839\u636e\u6570\u636e\u7684\u53ef\u89c6\u5316\u63cf\u8ff0\u505a\u51fa\u660e\u667a\u7684\u51b3\u7b56\u3002MinMax \u7f29\u653e\u662f\u4e00\u79cd\u9884\u5904\u7406\u6280\u672f\uff0c\u5728\u5904\u7406\u957f\u77ed\u65f6\u8bb0\u5fc6 (LSTM) \u7f51\u7edc\u65f6\u5c24\u4e3a\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u4eec\u5bf9\u8f93\u5165\u6570\u636e\u7684\u89c4\u6a21\u975e\u5e38\u654f\u611f\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u5f53\u8f93\u5165\u7279\u5f81\u5f52\u4e00\u5316\u5230\u7279\u5b9a\u8303\u56f4\u65f6\uff0cLSTM \u6a21\u578b\u7684\u6027\u80fd\u4f1a\u66f4\u597d\u3002\u8fd9\u79cd\u8c03\u6574\u6709\u52a9\u4e8e\u786e\u4fdd\u5404\u79cd\u8f93\u5165\u7279\u5f81\u5bf9\u5b66\u4e60\u8fc7\u7a0b\u7684\u8d21\u732e\u76f8\u540c\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u548c\u7a33\u5b9a\u6027\u3002\u5728\u4f7f\u7528 MinMax \u7f29\u653e\u65f6\uff0c\u5fc5\u987b\u4ed4\u7ec6\u8003\u8651\u5176\u5bf9\u6570\u636e\u6a21\u5f0f\u7684\u5f71\u54cd\u3002\u867d\u7136 MinMax \u53ef\u4ee5\u6709\u6548\u5730\u6807\u51c6\u5316\u8f93\u5165\u503c\uff0c\u4f46\u5fc5\u987b\u4fdd\u7559\u539f\u59cb\u6570\u636e\u96c6\u4e2d\u7684\u57fa\u672c\u5173\u7cfb\u3002\u56e0\u6b64\uff0c\u5728\u4f7f\u7528 LSTM \u7f51\u7edc\u65f6\uff0c\u6574\u5408 MinMax \u7f29\u653e\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u6548\u7387\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>scaler = MinMaxScaler(feature_range=(0,1))\ndf_close = scaler.fit_transform(np.array(df_close).reshape(-1,1))<\/code><\/pre>\n\n\n\n<p id=\"9b0c\">\u672c\u4ee3\u7801\u7247\u6bb5\u6f14\u793a\u4e86\u5728\u6570\u636e\u96c6\u4e0a\u5e94\u7528\u7279\u5f81\u7f29\u653e\uff0c\u7279\u522b\u662f\u5229\u7528 Scikit-learn \u5e93\u63d0\u4f9b\u7684 Min-Max \u7f29\u653e\u6280\u672f\u3002\u8be5\u7a0b\u5e8f\u7684\u76ee\u7684\u662f\u5c06 df_close \u6570\u636e\u96c6\u4e2d\u7684\u503c\u8f6c\u6362\u4e3a 0 \u81f3 1 \u7684\u6807\u51c6\u5316\u8303\u56f4\uff0cdf_close \u6570\u636e\u96c6\u53ef\u80fd\u7531\u80a1\u7968\u6536\u76d8\u4ef7\u6216\u7c7b\u4f3c\u7684\u6570\u5b57\u6570\u636e\u7ec4\u6210\u3002<\/p>\n\n\n\n<p id=\"81b6\">\u8be5\u8fc7\u7a0b\u4ece MinMaxScaler \u5bf9\u8c61\u7684\u521d\u59cb\u5316\u5f00\u59cb\uff0c\u914d\u7f6e\u7684\u7279\u5f81\u8303\u56f4\u4e3a (0\uff0c1)\u3002\u8fd9\u6837\u5c31\u53ef\u4ee5\u5bf9\u8f6c\u6362\u540e\u7684\u6570\u636e\u8fdb\u884c\u91cd\u65b0\u7f29\u653e\uff0c\u4f7f\u6700\u5c0f\u503c\u53d8\u4e3a 0\uff0c\u6700\u5927\u503c\u53d8\u4e3a 1\u3002\u8fd9\u79cd\u521d\u59cb\u5316\u662f\u7f29\u653e\u8fc7\u7a0b\u4e2d\u81f3\u5173\u91cd\u8981\u7684\u7b2c\u4e00\u6b65\u3002\u968f\u540e\uff0c\u539f\u59cb\u6570\u636e df_close \u88ab\u91cd\u5851\u4e3a\u4e8c\u7ef4\u6570\u7ec4\u3002\u8fd9\u79cd\u8f6c\u6362\u662f\u5fc5\u8981\u7684\uff0c\u56e0\u4e3a\u7f29\u653e\u5668\u9700\u8981\u4e8c\u7ef4\u683c\u5f0f\u7684\u6570\u636e\uff0c\u5305\u62ec\u6837\u672c\u548c\u7279\u5f81\uff0c\u5373\u4f7f\u53ea\u6709\u5355\u4e00\u7279\u5f81\uff0c\u6536\u76d8\u4ef7\u6570\u636e\u96c6\u4e5f\u662f\u5982\u6b64\u3002\u63a5\u4e0b\u6765\uff0c\u5728\u7f29\u653e\u5668\u5bf9\u8c61\u4e0a\u4f7f\u7528 fit_transform \u65b9\u6cd5\uff0c\u4f7f\u7528\u91cd\u5851\u540e\u7684\u6570\u636e\u3002\u8be5\u65b9\u6cd5\u8ba1\u7b97\u539f\u59cb\u6570\u636e\u96c6\u7684\u6700\u5c0f\u503c\u548c\u6700\u5927\u503c\uff0c\u5e94\u7528\u7f29\u653e\u53d8\u6362\u4ee5\u786e\u4fdd\u6570\u636e\u5728\u6307\u5b9a\u8303\u56f4\u5185\uff0c\u7136\u540e\u8fd4\u56de\u5f52\u4e00\u5316\u503c\u3002<\/p>\n\n\n\n<p id=\"a2ab\">\u5728\u6570\u636e\u9884\u5904\u7406\u4e2d\uff0c\u5c24\u5176\u662f\u5728\u673a\u5668\u5b66\u4e60\u548c\u7edf\u8ba1\u5206\u6790\u4e2d\uff0c\u4f7f\u7528\u8be5\u4ee3\u7801\u81f3\u5173\u91cd\u8981\u3002\u5f52\u4e00\u5316\u53ef\u4ee5\u786e\u4fdd\u5728\u5bf9\u6570\u636e\u89c4\u6a21\u654f\u611f\u7684\u7b97\u6cd5\uff08\u5982 K \u6700\u8fd1\u90bb\u548c\u68af\u5ea6\u4e0b\u964d\u4f18\u5316\u65b9\u6cd5\uff09\u4e2d\uff0c\u7279\u5f81\u5bf9\u8ddd\u79bb\u8ba1\u7b97\u7684\u8d21\u732e\u662f\u76f8\u7b49\u7684\u3002\u6b64\u5916\uff0c\u7f29\u653e\u8fd8\u80fd\u63d0\u9ad8\u67d0\u4e9b\u7b97\u6cd5\u7684\u6536\u655b\u901f\u5ea6\uff0c\u4ece\u800c\u52a0\u5feb\u8bad\u7ec3\u8fc7\u7a0b\u5e76\u63d0\u9ad8\u6548\u7387\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u80fd\u51cf\u5c11\u5f02\u5e38\u503c\u7684\u5f71\u54cd\uff0c\u9632\u6b62\u5b83\u4eec\u5bf9\u6a21\u578b\u5b66\u4e60\u8fc7\u7a0b\u4ea7\u751f\u8d1f\u9762\u5f71\u54cd\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>train_size = int(len(df_close)*0.65)\ntest_size = len(df_close) - train_size\ntrain_data = df_close&#91;0:train_size,:]\ntest_data = df_close&#91;train_size:,:]<\/code><\/pre>\n\n\n\n<p id=\"5e71\">\u8be5\u4ee3\u7801\u7528\u4e8e\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u6d4b\u8bd5\u51c6\u5907\u6570\u636e\u96c6\uff0c\u7279\u522b\u662f\u5728\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u7684\u80cc\u666f\u4e0b\uff0c\u4f8b\u5982\u4ee5\u53d8\u91cf\u540d df_close \u8868\u793a\u7684\u91d1\u878d\u4fe1\u606f\u3002\u4ee3\u7801\u7684\u4e3b\u8981\u529f\u80fd\u662f\u8ba1\u7b97\u7528\u4e8e\u8bad\u7ec3\u548c\u6d4b\u8bd5\u7684\u6570\u636e\u96c6\u6bd4\u4f8b\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u5b83\u5c06\u603b\u6570\u636e\u96c6\u7684 65% \u6307\u5b9a\u4e3a\u8bad\u7ec3\u90e8\u5206\uff0c\u5269\u4f59\u7684 35% \u7528\u4e8e\u6d4b\u8bd5\u3002\u8fd9\u79cd\u5212\u5206\u4f7f\u7a0b\u5e8f\u80fd\u591f\u6709\u6548\u8bc4\u4f30\u6a21\u578b\u5728\u672a\u89c1\u6570\u636e\u4e0a\u7684\u6027\u80fd\u3002<\/p>\n\n\n\n<p id=\"d612\">\u4e3a\u4e86\u5b9e\u73b0\u8fd9\u79cd\u5212\u5206\uff0c\u4ee3\u7801\u9996\u5148\u4f1a\u786e\u5b9a\u8bad\u7ec3\u6570\u636e\u96c6\u7684\u5927\u5c0f\uff08\u79f0\u4e3a train_size\uff09\uff0c\u5b83\u88ab\u8ba1\u7b97\u4e3a\u4ee3\u8868 df_close \u4e2d\u603b\u884c\u6570 65% \u7684\u6574\u6570\u503c\u3002\u7136\u540e\uff0c\u4ece\u603b\u884c\u6570\u4e2d\u51cf\u53bb train_size\uff0c\u5c31\u5f97\u51fa\u4e86\u6d4b\u8bd5\u6570\u636e\u96c6\u7684\u5927\u5c0f\uff08\u79f0\u4e3a test_size\uff09\uff0c\u4ee5\u786e\u4fdd df_close \u4e2d\u7684\u6240\u6709\u6570\u636e\u90fd\u5f97\u5230\u5229\u7528\u3002\u6700\u540e\uff0c\u4ee3\u7801\u901a\u8fc7\u5206\u5272 DataFrame \u521b\u5efa\u4e86\u4e24\u4e2a\u4e0d\u540c\u7684\u7247\u6bb5\uff1a\u4e00\u4e2a\u6307\u5b9a\u7528\u4e8e\u8bad\u7ec3\uff0c\u53e6\u4e00\u4e2a\u901a\u8fc7\u7d22\u5f15\u7528\u4e8e\u6d4b\u8bd5\u3002<\/p>\n\n\n\n<p id=\"e7eb\">\u4f7f\u7528\u8be5\u4ee3\u7801\u7684\u57fa\u672c\u539f\u7406\u662f\u57fa\u4e8e\u6a21\u578b\u8bad\u7ec3\u548c\u9a8c\u8bc1\u7684\u6982\u5ff5\u3002\u901a\u8fc7\u5206\u5272\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u5728\u4e00\u4e2a\u5b50\u96c6\u4e0a\u8bad\u7ec3\u6a21\u578b\uff0c\u540c\u65f6\u5728\u53e6\u4e00\u4e2a\u5b50\u96c6\u4e0a\u8bc4\u4f30\u5176\u6709\u6548\u6027\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u8ba9\u6211\u4eec\u6df1\u5165\u4e86\u89e3\u6a21\u578b\u5728\u9762\u5bf9\u4ee5\u524d\u672a\u66fe\u63a5\u89e6\u8fc7\u7684\u6570\u636e\u65f6\u7684\u6cdb\u5316\u80fd\u529b\u3002\u6b64\u5916\uff0c\u5c06\u8bad\u7ec3\u6570\u636e\u4e0e\u6d4b\u8bd5\u6570\u636e\u5206\u5f00\u6709\u52a9\u4e8e\u964d\u4f4e\u8fc7\u5ea6\u62df\u5408\u7684\u98ce\u9669\u3002\u5728\u4e00\u4e2a\u72ec\u7279\u7684\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u8bad\u7ec3\uff0c\u53ef\u4ee5\u964d\u4f4e\u6a21\u578b\u4ec5\u4ec5\u8bb0\u4f4f\u8f93\u5165\u6570\u636e\u7684\u53ef\u80fd\u6027&#8211;\u8fd9\u79cd\u73b0\u8c61\u53ef\u80fd\u4f1a\u5bf9\u5e94\u7528\u4e8e\u65b0\u6570\u636e\u65f6\u7684\u6027\u80fd\u4ea7\u751f\u4e0d\u5229\u5f71\u54cd\u3002\u5728\u4e0d\u540c\u7684\u6570\u636e\u96c6\u4e0a\u6d4b\u8bd5\u6a21\u578b\uff0c\u53ef\u4ee5\u5bf9\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u6574\u4f53\u6709\u6548\u6027\u8fdb\u884c\u53ef\u9760\u7684\u8bc4\u4f30\u3002<\/p>\n\n\n\n<p id=\"dbbd\">\u5728\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u4e2d\uff0c\u4fdd\u6301\u6570\u636e\u7684\u65f6\u95f4\u7ed3\u6784\u81f3\u5173\u91cd\u8981\u3002\u672c\u4ee3\u7801\u9075\u5faa\u8fd9\u4e00\u539f\u5219\uff0c\u5c06\u6570\u636e\u96c6\u7684\u521d\u59cb\u90e8\u5206\u5206\u914d\u7ed9\u8bad\u7ec3\uff0c\u5e76\u5c06\u968f\u540e\u7684\u90e8\u5206\u4fdd\u7559\u7ed9\u6d4b\u8bd5\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u6709\u6548\u5730\u6a21\u62df\u5e94\u7528\u5386\u53f2\u6570\u636e\u9884\u6d4b\u672a\u6765\u7ed3\u679c\u7684\u73b0\u5b9e\u573a\u666f\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>plt.figure(figsize=&#91;15,5])\nplt.subplot(121)\nplt.plot(train_data)\nplt.title('Train Data')\nplt.subplot(122)\nplt.plot(test_data)\nplt.title('Test Data')\nplt.show()<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"a641\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*cvdT3SyLFDW2hvTUZ9zwrA.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"fa24\">\u8fd9\u6bb5\u4ee3\u7801\u7684\u76ee\u7684\u662f\u5c06\u4e24\u7ec4\u4e0d\u540c\u7684\u6570\u636e\u53ef\u89c6\u5316\uff1a\u8bad\u7ec3\u6570\u636e\u548c\u6d4b\u8bd5\u6570\u636e\u3002\u5b83\u80fd\u751f\u6210\u4e00\u4e2a\u56fe\u8868\uff0c\u4ee5\u8fde\u8d2f\u7684\u65b9\u5f0f\u5e76\u6392\u663e\u793a\u4e24\u4e2a\u6570\u636e\u96c6\u3002\u8d77\u521d\uff0c\u4ee3\u7801\u4f1a\u8bbe\u7f6e\u56fe\u8868\u7684\u5c3a\u5bf8\uff0c\u4ee5\u786e\u4fdd\u66f4\u5bbd\u7684\u663e\u793a\u8303\u56f4\uff0c\u4ece\u800c\u65b9\u4fbf\u67e5\u770b\u4e24\u5e45\u56fe\uff0c\u4e14\u4e0d\u4f1a\u51fa\u73b0\u91cd\u53e0\u3002\u968f\u540e\uff0c\u8be5\u56fe\u88ab\u5206\u4e3a\u4e24\u4e2a\u5b50\u56fe\u3002\u7b2c\u4e00\u4e2a\u5b50\u56fe\u7528\u4e8e\u663e\u793a\u8bad\u7ec3\u6570\u636e\uff0c\u5176\u4e2d\u7684\u6298\u7ebf\u56fe\u663e\u793a\u4e86\u8bad\u7ec3\u6570\u636e\u96c6\u968f\u65f6\u95f4\u6216\u5176\u4ed6\u76f8\u5173\u6307\u6807\u53d8\u5316\u7684\u503c\u3002\u7b2c\u4e8c\u4e2a\u5b50\u56fe\u4e0e\u4e0a\u8ff0\u5b89\u6392\u76f8\u540c\uff0c\u4f46\u4fa7\u91cd\u4e8e\u6d4b\u8bd5\u6570\u636e\uff0c\u540c\u6837\u91c7\u7528\u6298\u7ebf\u56fe\u8868\u793a\u3002\u6bcf\u4e2a\u5b50\u56fe\u90fd\u6709\u9002\u5f53\u7684\u6807\u9898\uff0c\u4ee5\u660e\u786e\u5c55\u793a\u7684\u662f\u54ea\u4e2a\u6570\u636e\u96c6\uff0c\u4ece\u800c\u5e2e\u52a9\u89c2\u4f17\u89e3\u8bfb\u6240\u5c55\u793a\u7684\u4fe1\u606f\u3002\u6700\u540e\uff0c\u5c06\u4e3a\u7528\u6237\u663e\u793a\u7efc\u5408\u89c6\u89c9\u8f93\u51fa\u3002<\/p>\n\n\n\n<p id=\"673f\">\u7531\u4e8e\u5404\u79cd\u539f\u56e0\uff0c\u4f7f\u7528\u8be5\u4ee3\u7801\u610f\u4e49\u91cd\u5927\u3002\u5b83\u53ef\u4ee5\u5bf9\u8bad\u7ec3\u6570\u636e\u96c6\u548c\u6d4b\u8bd5\u6570\u636e\u96c6\u8fdb\u884c\u53ef\u89c6\u5316\u6bd4\u8f83\uff0c\u8fd9\u5728\u673a\u5668\u5b66\u4e60\u548c\u7edf\u8ba1\u9886\u57df\u975e\u5e38\u91cd\u8981\uff0c\u53ef\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u5728\u4ee5\u524d\u672a\u89c1\u8fc7\u7684\u6570\u636e\u4e0a\u7684\u8868\u73b0\u6548\u679c\u3002\u901a\u8fc7\u5bf9\u4e24\u4e2a\u6570\u636e\u96c6\u7684\u6a21\u5f0f\u3001\u8d8b\u52bf\u548c\u5206\u5e03\u8fdb\u884c\u53ef\u89c6\u5316\u5206\u6790\uff0c\u4eba\u4eec\u53ef\u4ee5\u6df1\u5165\u4e86\u89e3\u6a21\u578b\u7684\u6cdb\u5316\u6f5c\u529b\uff0c\u5e76\u53d1\u73b0\u8fc7\u62df\u5408\u6216\u6b20\u62df\u5408\u7b49\u95ee\u9898\u3002\u603b\u4e4b\uff0c\u53ef\u89c6\u5316\u662f\u6570\u636e\u5206\u6790\u548c\u89e3\u91ca\u7684\u91cd\u8981\u7ec4\u6210\u90e8\u5206\uff0c\u56e0\u6b64\u8be5\u4ee3\u7801\u5bf9\u4e8e\u6709\u6548\u7684\u6570\u636e\u63a2\u7d22\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u3002\u8be5\u6a21\u578b\u7684\u57f9\u8bad\u6db5\u76d6 2023 \u5e74 10 \u6708\u4e4b\u524d\u7684\u4fe1\u606f\u3002\u8fd9\u5c31\u610f\u5473\u7740\uff0c\u6a21\u578b\u7684\u77e5\u8bc6\u4e2d\u4e0d\u4f1a\u53cd\u6620\u8be5\u65e5\u671f\u4e4b\u540e\u53d1\u751f\u7684\u4efb\u4f55\u53d1\u5c55\u6216\u53d8\u5316\u3002\u56e0\u6b64\uff0c\u6a21\u578b\u7684\u7406\u89e3\u548c\u54cd\u5e94\u4ec5\u9650\u4e8e\u8be5\u7279\u5b9a\u65f6\u95f4\u70b9\u4e4b\u524d\u7684\u6570\u636e\u548c\u4e8b\u4ef6\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>def create_dataset(dataset, time_step=1):\n    dataX, dataY = &#91;], &#91;]\n    for i in range(len(dataset)-time_step-1):\n        dataX.append(dataset&#91;i:(i+time_step),0])\n        dataY.append(dataset&#91;(i+time_step),0])\n    \n    return np.array(dataX), np.array(dataY)<\/code><\/pre>\n\n\n\n<p id=\"870b\">\u8be5\u4ee3\u7801\u5b9a\u4e49\u4e86\u4e00\u4e2a\u540d\u4e3a create_dataset \u7684\u51fd\u6570\uff0c\u65e8\u5728\u4e3a\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff08\u5c24\u5176\u662f\u4e0e\u9884\u6d4b\u6216\u56de\u5f52\u76f8\u5173\u7684\u4efb\u52a1\uff09\u7684\u8bad\u7ec3\u51c6\u5907\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u96c6\u3002\u8be5\u51fd\u6570\u63a5\u53d7\u4e00\u4e2a\u6570\u636e\u96c6\uff08\u901a\u5e38\u5e94\u4e3a\u591a\u7ef4\u6570\u7ec4\uff0c\u5982 NumPy \u6570\u7ec4\uff09\u4ee5\u53ca\u4e00\u4e2a\u540d\u4e3a time_step \u7684\u53c2\u6570\u3002\u8be5\u53c2\u6570\u8868\u793a\u7528\u4e8e\u9884\u6d4b\u5e8f\u5217\u4e2d\u4e0b\u4e00\u4e2a\u503c\u7684\u524d\u4e00\u65f6\u95f4\u6b65\u6570\u3002\u6700\u521d\uff0c\u51fd\u6570\u5efa\u7acb\u4e86\u4e24\u4e2a\u7a7a\u5217\u8868\uff1adataX \u548c dataY\u3002dataX \u5217\u8868\u7528\u4e8e\u4fdd\u5b58\u8f93\u5165\u6570\u636e\u5e8f\u5217\uff0c\u800c dataY \u5219\u7528\u4e8e\u4fdd\u5b58\u6bcf\u4e2a\u5e8f\u5217\u540e\u7684\u76f8\u5e94\u8f93\u51fa\u503c\u3002\u51fd\u6570\u4f1a\u7ee7\u7eed\u904d\u5386\u6570\u636e\u96c6\u3002\u5bf9\u4e8e\u6570\u636e\u96c6\u4e2d\u7684\u6bcf\u4e2a\u70b9\uff0c\u5b83\u90fd\u4f1a\u63d0\u53d6\u6700\u540e\u4e00\u4e2a\u65f6\u95f4\u6b65\u957f\u503c\u7684\u7247\u6bb5\uff0c\u5f62\u6210\u4e00\u4e2a\u8f93\u5165\u5e8f\u5217\uff0c\u968f\u540e\u5c06\u5176\u6dfb\u52a0\u5230 dataX \u4e2d\u3002\u8f93\u51fa\u503c\u4ee3\u8868\u8f93\u5165\u5e8f\u5217\u4e4b\u540e\u5e8f\u5217\u4e2d\u7684\u4e0b\u4e00\u4e2a\u503c\uff0c\u968f\u540e\u88ab\u6dfb\u52a0\u5230 dataY \u4e2d\u3002\u5904\u7406\u5b8c\u6574\u4e2a\u6570\u636e\u96c6\u540e\uff0c\u51fd\u6570\u4f1a\u5c06 dataX \u548c dataY \u8f6c\u6362\u4e3a NumPy \u6570\u7ec4\u5e76\u8fd4\u56de\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>time_step = 100\ntrain_x, train_y = create_dataset(train_data, time_step)\ntest_x, test_y = create_dataset(test_data, time_step)<\/code><\/pre>\n\n\n\n<p id=\"320e\">\u8be5\u4ee3\u7801\u7247\u6bb5\u65e8\u5728\u65b9\u4fbf\u5bf9\u6d89\u53ca\u65f6\u95f4\u5e8f\u5217\u673a\u5668\u5b66\u4e60\u6216\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u7684\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\u3002\u811a\u672c\u5efa\u7acb\u4e86\u4e00\u4e2a\u8868\u793a\u65f6\u95f4\u6b65\u957f\u7684\u53d8\u91cf\uff08\u8bbe\u7f6e\u4e3a 100\uff09\uff0c\u7136\u540e\u5229\u7528\u8be5\u53d8\u91cf\u8f6c\u6362\u4e24\u4e2a\u4e0d\u540c\u7684\u6570\u636e\u96c6\uff1a\u4e00\u4e2a\u7528\u4e8e\u8bad\u7ec3\uff0c\u53e6\u4e00\u4e2a\u7528\u4e8e\u6d4b\u8bd5\u3002\u9884\u5904\u7406\u662f\u901a\u8fc7\u4e00\u4e2a\u7528\u4e8e\u5206\u5272\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u7684\u51fd\u6570\uff08\u79f0\u4e3a create_dataset\uff09\u6765\u6267\u884c\u7684\u3002\u8be5\u51fd\u6570\u6839\u636e\u6307\u5b9a\u7684\u65f6\u95f4\u6b65\u957f\u7ec4\u7ec7\u8bad\u7ec3\u6570\u636e\u548c\u6d4b\u8bd5\u6570\u636e\u3002\u5bf9\u4e8e\u6570\u636e\u96c6\u4e2d\u7684\u6bcf\u4e2a\u70b9\uff0c\u5b83\u90fd\u4f1a\u6839\u636e\u65f6\u95f4\u6b65\u957f\u5b9a\u4e49\u7684\u524d\u4e00\u6570\u503c\u5e8f\u5217\u751f\u6210\u76f8\u5e94\u7684\u6807\u7b7e\u6216\u8f93\u51fa\u3002\u4ece\u672c\u8d28\u4e0a\u8bb2\uff0c\u5b83\u521b\u5efa\u4e86\u6570\u636e\u70b9\u7684\u91cd\u53e0\u7a97\u53e3\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u8fdb\u884c\u5206\u6790\u3002\u5bf9\u8bad\u7ec3\u6570\u636e\u96c6\u548c\u6d4b\u8bd5\u6570\u636e\u96c6\u5e94\u7528\u8be5\u529f\u80fd\u53ef\u786e\u4fdd\u5b83\u4eec\u7684\u683c\u5f0f\u4e00\u81f4\uff0c\u8fd9\u5bf9\u5f00\u53d1\u9884\u6d4b\u6a21\u578b\u81f3\u5173\u91cd\u8981\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u6bcf\u4e2a\u8f93\u5165\u5e8f\u5217\u90fd\u80fd\u4e0e\u76f8\u5e94\u7684\u8f93\u51fa\u914d\u5bf9\uff0c\u4ece\u800c\u4f7f\u6a21\u578b\u80fd\u6709\u6548\u8fa8\u522b\u5b83\u4eec\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u6b64\u5916\uff0c\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u8bb8\u591a\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u5c24\u5176\u662f\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u548c\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc\uff08LSTM\uff09\uff0c\u90fd\u8981\u6c42\u6570\u636e\u4ee5\u7279\u5b9a\u7684\u683c\u5f0f\u7ed3\u6784\u5316\u3002\u8fd9\u79cd\u7ed3\u6784\u5bf9\u4e8e\u8fd9\u4e9b\u6a21\u578b\u6709\u6548\u7406\u89e3\u65f6\u95f4\u5173\u7cfb\u81f3\u5173\u91cd\u8981\u3002\u56e0\u6b64\uff0c\u8981\u4f7f\u6a21\u578b\u80fd\u591f\u4ece\u4f9d\u8d56\u4e8e\u65f6\u95f4\u7684\u6570\u636e\u4e2d\u5b66\u4e60\uff0c\u8fd9\u4e00\u9884\u5904\u7406\u6b65\u9aa4\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>train_x = train_x.reshape(train_x.shape&#91;0],train_x.shape&#91;1],1)\ntest_x = test_x.reshape(test_x.shape&#91;0],test_x.shape&#91;1],1)<\/code><\/pre>\n\n\n\n<p id=\"e0b4\">\u4ee3\u7801\u65e8\u5728\u91cd\u5851\u8bad\u7ec3\u6570\u636e\u96c6\u548c\u6d4b\u8bd5\u6570\u636e\u96c6\uff0c\u5206\u522b\u79f0\u4e3a train_x \u548c test_x\u3002\u8fd9\u4e9b\u6570\u636e\u96c6\u901a\u5e38\u5305\u542b\u673a\u5668\u5b66\u4e60\u6a21\u578b\u6240\u9700\u7684\u8f93\u5165\u6570\u636e\uff0c\u5e76\u4ee5\u6570\u7ec4\u6216\u77e9\u9635\u7684\u5f62\u5f0f\u7ec4\u7ec7\u3002\u8fd9\u6bb5\u4ee3\u7801\u7684\u4e3b\u8981\u76ee\u7684\u662f\u6539\u53d8\u6bcf\u4e2a\u6570\u636e\u96c6\u7684\u7ed3\u6784\uff0c\u4ee5\u83b7\u5f97\u4e09\u4e2a\u7ef4\u5ea6\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u91cd\u6784\u540e\u7684\u5f62\u72b6\u4fdd\u6301\u4e86\u539f\u59cb\u6837\u672c\u6570\uff0c\u5373\u8bad\u7ec3\u96c6\u7684 train_x.shape[0]\u548c\u6d4b\u8bd5\u96c6\u7684 test_x.shape[0]\u3002\u5728\u7b2c\u4e8c\u4e2a\u7ef4\u5ea6\u4e2d\uff0c\u5b83\u4fdd\u7559\u4e86\u539f\u6765\u7684\u7279\u5f81\u6570\u6216\u65f6\u95f4\u6b65\u6570\uff0c\u7528 train_x.shape[1] \u6216 test_x.shape[1] \u8868\u793a\u3002\u7b2c\u4e09\u4e2a\u7ef4\u5ea6\u7684\u5927\u5c0f\u8bbe\u4e3a 1\u3002<\/p>\n\n\n\n<p id=\"46a6\">\u5bf9\u4e8e\u67d0\u4e9b\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff0c\u5c24\u5176\u662f\u5904\u7406\u987a\u5e8f\u6570\u636e\u7684\u67b6\u6784\uff0c\u5982\u9012\u5f52\u795e\u7ecf\u7f51\u7edc\uff08RNN\uff09\u548c\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\uff0c\u8fd9\u79cd\u91cd\u5851\u8fc7\u7a0b\u5f80\u5f80\u662f\u5fc5\u8981\u7684\u3002\u8fd9\u4e9b\u6a21\u578b\u901a\u5e38\u9700\u8981\u4e09\u7ef4\u683c\u5f0f\u7684\u8f93\u5165\u6570\u636e\u3002\u8fd9\u4e9b\u7ef4\u5ea6\u901a\u5e38\u4e0e\u6837\u672c\u6570\u3001\u65f6\u95f4\u6b65\u6570\u6216\u7279\u5f81\u6570\u4ee5\u53ca\u901a\u9053\u6570\u76f8\u5bf9\u5e94\uff0c\u5176\u4e2d\u901a\u9053\u5728\u8fd9\u91cc\u88ab\u5b9a\u4e49\u4e3a\u4e00\u4e2a\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>train_x.shape, train_y.shape, test_x.shape, test_y.shape<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"d08e\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*k6t_9Kl3Q_1F6y096Xal8g.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"0a5a\">\u8be5\u4ee3\u7801\u7528\u4e8e\u83b7\u53d6\u56db\u4e2a\u4e0d\u540c\u6570\u636e\u96c6\u7684\u7ef4\u5ea6\uff1atrain_x\u3001train_y\u3001test_x \u548c test_y\u3002\u8fd9\u4e9b\u53d8\u91cf\u4e2d\u7684\u6bcf\u4e00\u4e2a\u90fd\u5728\u673a\u5668\u5b66\u4e60\u5de5\u4f5c\u6d41\u7a0b\u4e2d\u53d1\u6325\u7740\u91cd\u8981\u4f5c\u7528\u3002\u53d8\u91cf train_x \u901a\u5e38\u5305\u542b\u7528\u4e8e\u8bad\u7ec3\u7684\u7279\u5f81\u6570\u636e\uff0c\u5305\u62ec\u6a21\u578b\u5c06\u4ece\u4e2d\u5b66\u4e60\u7684\u8f93\u5165\u53d8\u91cf\u3002\u800c train_y \u5219\u5305\u542b\u4e0e train_x \u76f8\u5bf9\u5e94\u7684\u76ee\u6807\u6216\u6807\u7b7e\u6570\u636e\uff0c\u4ee3\u8868\u8fd9\u4e9b\u8f93\u5165\u7279\u5f81\u7684\u9884\u671f\u8f93\u51fa\u3002test_x \u53d8\u91cf\u5305\u542b\u7528\u4e8e\u6d4b\u8bd5\u7684\u7279\u5f81\u6570\u636e\uff0c\u7528\u4e8e\u8bc4\u4f30\u8bad\u7ec3\u597d\u7684\u6a21\u578b\u5728\u65b0\u7684\u672a\u89c1\u6570\u636e\u4e0a\u7684\u6027\u80fd\u3002\u4e0e\u6b64\u540c\u65f6\uff0ctest_y \u4fdd\u5b58\u4e86\u7528\u4e8e\u6d4b\u8bd5\u7684\u76ee\u6807\u6570\u636e\u6216\u6807\u7b7e\u6570\u636e\uff0c\u4f5c\u4e3a\u6a21\u578b\u5728 test_x \u4e0a\u9884\u6d4b\u7ed3\u679c\u7684\u6bd4\u8f83\u57fa\u51c6\u3002<\/p>\n\n\n\n<p id=\"d6f9\">\u901a\u8fc7\u8c03\u7528\u8fd9\u4e9b\u6570\u7ec4\u7684 .shape \u5c5e\u6027\uff0c\u53ef\u4ee5\u786e\u5b9a\u5b83\u4eec\u7684\u5c3a\u5bf8\uff0c\u4e5f\u5c31\u662f\u884c\u6570\u548c\u5217\u6570\u3002\u8fd9\u4e00\u4fe1\u606f\u81f3\u5173\u91cd\u8981\uff0c\u539f\u56e0\u6709\u51e0\u4e2a\u3002\u9996\u5148\uff0c\u5b83\u6709\u52a9\u4e8e\u4e86\u89e3\u6570\u636e\u7ed3\u6784\uff0c\u4ece\u800c\u9a8c\u8bc1\u6570\u636e\u7ec4\u7ec7\u662f\u5426\u6b63\u786e\uff0c\u4ee5\u53ca\u8f93\u5165\u548c\u8f93\u51fa\u6570\u636e\u96c6\u4e4b\u95f4\u7684\u6837\u672c\u548c\u7279\u5f81\u6570\u91cf\u662f\u5426\u9002\u5f53\u3002\u5176\u6b21\uff0c\u4e86\u89e3\u6570\u636e\u96c6\u7684\u5f62\u72b6\u5bf9\u4e8e\u6a21\u578b\u8f93\u5165\u9a8c\u8bc1\u81f3\u5173\u91cd\u8981\uff0c\u56e0\u4e3a\u8fd9\u53ef\u4ee5\u5728\u5f00\u59cb\u8bad\u7ec3\u4e4b\u524d\u786e\u8ba4\u6570\u636e\u96c6\u662f\u5426\u7b26\u5408\u673a\u5668\u5b66\u4e60\u6a21\u578b\u6240\u9700\u7684\u9884\u671f\u7ef4\u5ea6\u3002\u6b64\u5916\uff0c\u5982\u679c\u5728\u8bad\u7ec3\u6216\u8bc4\u4f30\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u95ee\u9898\uff0c\u68c0\u67e5\u8fd9\u4e9b\u6570\u636e\u96c6\u7684\u5f62\u72b6\u901a\u5e38\u662f\u8bc6\u522b\u6570\u636e\u51c6\u5907\u8fc7\u7a0b\u4e2d\u4efb\u4f55\u6f5c\u5728\u4e0d\u5339\u914d\u6216\u9519\u8bef\u7684\u521d\u6b65\u6b65\u9aa4\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>model = Sequential()\nmodel.add(LSTM(50, return_sequences=True, input_shape=(100,1)))\nmodel.add(LSTM(50, return_sequences=True))\nmodel.add(LSTM(50))\nmodel.add(Dense(1))<\/code><\/pre>\n\n\n\n<p id=\"3945\">\u8be5\u4ee3\u7801\u5229\u7528\u5e8f\u5217\u67b6\u6784\u5efa\u7acb\u4e86\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\uff0c\u4e13\u95e8\u7528\u4e8e\u5206\u6790\u5e8f\u5217\u6570\u636e\uff0c\u5982\u65f6\u95f4\u5e8f\u5217\u6216\u6709\u5e8f\u6570\u636e\u70b9\u3002\u8be5\u6a21\u578b\u6709\u4e09\u4e2a\u957f\u77ed\u671f\u8bb0\u5fc6\uff08LSTM\uff09\u5c42\u548c\u4e00\u4e2a\u5bc6\u96c6\u5c42\u3002LSTM \u5c42\u80fd\u591f\u5728\u4e0d\u540c\u7684\u65f6\u95f4\u95f4\u9694\u5185\u719f\u7ec3\u5730\u4fdd\u7559\u4fe1\u606f\uff0c\u56e0\u6b64\u7279\u522b\u9002\u7528\u4e8e\u4f9d\u8d56\u5148\u524d\u65f6\u95f4\u6b65\u9aa4\u7684\u4e0a\u4e0b\u6587\u4fe1\u606f\u7684\u4efb\u52a1\u3002<\/p>\n\n\n\n<p id=\"9f3c\">\u5728\u5c42\u914d\u7f6e\u65b9\u9762\uff0c\u7b2c\u4e00\u4e2a LSTM \u5c42\u7531 50 \u4e2a\u5355\u5143\u7ec4\u6210\uff0c\u5e76\u8bbe\u7f6e\u4e3a\u8fd4\u56de\u5e8f\u5217\u3002\u8fd9\u610f\u5473\u7740\u5b83\u80fd\u4e3a\u6bcf\u4e2a\u65f6\u95f4\u6b65\u957f\u751f\u6210\u4e00\u4e2a\u5b8c\u6574\u7684\u8f93\u51fa\u5e8f\u5217\uff0c\u4f7f\u540e\u7eed\u5c42\u80fd\u591f\u5904\u7406\u8fd9\u4e9b\u5e8f\u5217\u3002\u7b2c\u4e8c LSTM \u5c42\u4e0e\u6b64\u914d\u7f6e\u76f8\u540c\uff0c\u4e5f\u5305\u542b 50 \u4e2a\u5355\u5143\u5e76\u8fd4\u56de\u5e8f\u5217\uff0c\u4ee5\u4fbf\u8fdb\u4e00\u6b65\u5904\u7406\u524d\u4e00\u4e2a LSTM \u5c42\u4ea7\u751f\u7684\u8f93\u51fa\u3002\u7b2c\u4e09 LSTM \u5c42\u7684\u4e0d\u540c\u4e4b\u5904\u5728\u4e8e\u5b83\u4e0d\u8fd4\u56de\u5e8f\u5217\uff0c\u800c\u662f\u751f\u6210\u4e00\u4e2a\u5355\u4e00\u7684\u8f93\u51fa\u503c\uff0c\u901a\u5e38\u7528\u4e8e\u56de\u5f52\u4efb\u52a1\u6216\u6700\u7ec8\u9884\u6d4b\u3002\u5728\u8fd9\u4e9b\u5c42\u4e4b\u540e\uff0c\u5bc6\u96c6\u5c42\u7531\u4e00\u4e2a\u5355\u5143\u7ec4\u6210\uff0c\u63d0\u4f9b\u6a21\u578b\u7684\u6700\u7ec8\u8f93\u51fa\uff0c\u901a\u5e38\u7528\u4e8e\u6839\u636e LSTM \u5c42\u7684\u7ed3\u679c\u751f\u6210\u9884\u6d4b\u3002\u5173\u4e8e\u8f93\u5165\u8981\u6c42\uff0c\u8be5\u6a21\u578b\u7684\u7ed3\u6784\u662f\u63a5\u53d7\u5305\u542b 100 \u4e2a\u65f6\u95f4\u6b65\u957f\u7684\u5e8f\u5217\uff0c\u6bcf\u4e2a\u65f6\u95f4\u6b65\u957f\u53ea\u6709\u4e00\u4e2a\u5c5e\u6027\uff0c\u4ece\u800c\u521b\u5efa\u4e00\u4e2a\u8f93\u5165\u5f62\u72b6\uff08100\uff0c1\uff09\u3002<\/p>\n\n\n\n<p id=\"2359\">\u8be5\u4ee3\u7801\u7684\u4e3b\u8981\u76ee\u6807\u662f\u5b9e\u73b0\u4e00\u4e2a\u9002\u5408\u6839\u636e\u8fde\u7eed\u6570\u636e\u8fdb\u884c\u9884\u6d4b\u7684\u6a21\u578b\u3002\u6b64\u7c7b\u5e94\u7528\u5305\u62ec\u80a1\u7968\u4ef7\u683c\u9884\u6d4b\u3001\u5929\u6c14\u9884\u6d4b\u6216\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4efb\u52a1\u3002LSTM \u5c42\u7684\u52a0\u5165\u4f7f\u6a21\u578b\u80fd\u591f\u6709\u6548\u6355\u6349\u6570\u636e\u4e2d\u7684\u65f6\u95f4\u4f9d\u8d56\u6027\uff0c\u4ece\u800c\u589e\u5f3a\u5176\u8bc6\u522b\u968f\u65f6\u95f4\u53d8\u5316\u7684\u6a21\u5f0f\u7684\u80fd\u529b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>model.compile(loss='mean_squared_error', optimizer='adam')<\/code><\/pre>\n\n\n\n<p id=\"46b7\">\u8fd9\u6bb5\u4ee3\u7801\u5728\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u51c6\u5907\u8fc7\u7a0b\u4e2d\u8d77\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u5c24\u5176\u662f\u5728\u4f7f\u7528 TensorFlow \u6216 Keras \u7b49\u6846\u67b6\u7684\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u3002\u5b83\u901a\u8fc7\u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4f18\u5316\u7b97\u6cd5\u4e3a\u8bad\u7ec3\u6a21\u578b\u5960\u5b9a\u57fa\u7840\u3002\u635f\u5931\u53c2\u6570\u81f3\u5173\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u51b3\u5b9a\u4e86\u5728\u8bad\u7ec3\u9636\u6bb5\u7528\u6765\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u7684\u6307\u6807\u3002\u5728\u672c\u4f8b\u4e2d\uff0c\u9009\u62e9\u7684\u662f\u5747\u65b9\u8bef\u5dee\uff0c\u8fd9\u662f\u56de\u5f52\u4efb\u52a1\u7684\u6807\u51c6\u9009\u62e9\u3002\u8be5\u6307\u6807\u8ba1\u7b97\u7684\u662f\u9884\u6d4b\u503c\u4e0e\u5b9e\u9645\u503c\u4e4b\u95f4\u5e73\u65b9\u5dee\u7684\u5e73\u5747\u503c\u3002\u56e0\u6b64\uff0c\u5e73\u5747\u5e73\u65b9\u8bef\u5dee\u8d8a\u5c0f\uff0c\u8bf4\u660e\u6a21\u578b\u4e0e\u8bad\u7ec3\u6570\u636e\u7684\u5339\u914d\u5ea6\u8d8a\u9ad8\u3002\u4f18\u5316\u5668\u53c2\u6570\u6307\u5b9a\u4e86\u5728\u6574\u4e2a\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u7528\u4e8e\u8c03\u6574\u6a21\u578b\u6743\u91cd\u7684\u7b97\u6cd5\u3002\u5728\u672c\u4f8b\u4e2d\uff0c\u4f7f\u7528\u7684\u662f adam \u4f18\u5316\u5668\uff0c\u5b83\u4ee3\u8868\u81ea\u9002\u5e94\u77e9\u4f30\u8ba1\uff08Adaptive Moment Estimation\uff09\u3002\u8fd9\u79cd\u4f18\u5316\u65b9\u6cd5\u878d\u5408\u4e86\u4e24\u79cd\u968f\u673a\u68af\u5ea6\u4e0b\u964d\u7b97\u6cd5\u7684\u4f18\u70b9\uff0c\u56e0\u6b64\u5907\u53d7\u9752\u7750\u3002\u5b83\u6839\u636e\u68af\u5ea6\u7684\u7b2c\u4e00\u77e9\u548c\u7b2c\u4e8c\u77e9\u4f30\u8ba1\u503c\uff0c\u5355\u72ec\u8c03\u6574\u6bcf\u4e2a\u53c2\u6570\u7684\u5b66\u4e60\u7387\uff0c\u4ece\u800c\u63d0\u9ad8\u5b66\u4e60\u8fc7\u7a0b\u7684\u6548\u7387\u548c\u7a33\u5b9a\u6027\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>model.summary()<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"0172\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*tKvZXexQuzuOXaZZTmgLrA.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"ef06\">\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff08\u5982 TensorFlow\/Keras \u548c PyTorch\uff09\u901a\u5e38\u4f1a\u4f7f\u7528 model.summary() \u547d\u4ee4\u3002\u6267\u884c\u540e\uff0c\u5b83\u4f1a\u751f\u6210\u4e00\u4efd\u6a21\u578b\u67b6\u6784\u7684\u7efc\u5408\u6458\u8981\u3002\u8be5\u6458\u8981\u63d0\u4f9b\u4e86\u6709\u5173\u7ec4\u6210\u6a21\u578b\u7684\u5404\u5c42\u7684\u5b9d\u8d35\u4fe1\u606f\u3002\u5b83\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u6240\u4f7f\u7528\u7684\u5c42\u7c7b\u578b\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u5377\u79ef\u5c42\u3001\u5bc6\u96c6\u5c42\u548c\u9012\u5f52\u5c42\u3002\u6b64\u5916\uff0c\u5b83\u8fd8\u63d0\u4f9b\u4e86\u5404\u5c42\u751f\u6210\u7684\u8f93\u51fa\u5f62\u72b6\uff0c\u8fd9\u6709\u52a9\u4e8e\u4e86\u89e3\u6574\u4e2a\u6a21\u578b\u7684\u6570\u636e\u6d41\u3002\u6458\u8981\u8fd8\u5217\u4e3e\u4e86\u6bcf\u4e2a\u5c42\u548c\u6574\u4e2a\u6a21\u578b\u7684\u53c2\u6570\u603b\u6570\uff0c\u5305\u62ec\u6743\u91cd\u548c\u504f\u7f6e\u3002\u8fd9\u4e9b\u4fe1\u606f\u6709\u52a9\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u590d\u6742\u6027\u548c\u80fd\u529b\u3002\u6b64\u5916\uff0c\u6458\u8981\u8fd8\u533a\u5206\u4e86\u53ef\u8bad\u7ec3\u53c2\u6570\u548c\u4e0d\u53ef\u8bad\u7ec3\u53c2\u6570\u3002\u8fd9\u79cd\u533a\u5206\u975e\u5e38\u91cd\u8981\uff0c\u5c24\u5176\u662f\u5728\u5229\u7528\u8fc1\u79fb\u5b66\u4e60\u7b49\u6280\u672f\u7684\u6a21\u578b\u4e2d\uff0c\u56e0\u4e3a\u5b83\u660e\u786e\u4e86\u54ea\u4e9b\u53c2\u6570\u53ef\u4ee5\u5728\u8bad\u7ec3\u8fc7\u7a0b\u4e2d\u8c03\u6574\uff0c\u54ea\u4e9b\u53c2\u6570\u4fdd\u6301\u4e0d\u53d8\u3002<\/p>\n\n\n\n<p id=\"1250\">\u8be5\u6458\u8981\u7684\u7528\u9014\u6269\u5c55\u5230\u6a21\u578b\u5f00\u53d1\u548c\u7814\u7a76\u7684\u5404\u4e2a\u65b9\u9762\u3002\u5b83\u6709\u52a9\u4e8e\u8c03\u8bd5\uff0c\u4f7f\u7528\u6237\u80fd\u591f\u786e\u8ba4\u6a21\u578b\u6784\u5efa\u7684\u51c6\u786e\u6027\uff0c\u786e\u4fdd\u5404\u5c42\u4e4b\u95f4\u7684\u6b63\u786e\u8fde\u63a5\u548c\u5c3a\u5bf8\u5bf9\u9f50\u3002\u5b83\u8fd8\u6709\u52a9\u4e8e\u5bf9\u6a21\u578b\u8fdb\u884c\u8bc4\u4f30\uff0c\u63d0\u4f9b\u590d\u6742\u6027\u6982\u89c8\uff0c\u5e2e\u52a9\u786e\u5b9a\u6a21\u578b\u662f\u5426\u9002\u5408\u9884\u671f\u4efb\u52a1\uff0c\u5e76\u8bc4\u4f30\u6570\u636e\u62df\u5408\u4e0d\u8db3\u6216\u62df\u5408\u8fc7\u5ea6\u7684\u98ce\u9669\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>model_history = model.fit(train_x, train_y, \n                          validation_data=(test_x, test_y), \n                          epochs=100, batch_size=64)<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"7d11\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*WyJ9ZmN29JtyUGVxpNvj3A.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"6223\">\u672c\u4ee3\u7801\u7528\u4e8e\u5229\u7528\u6307\u5b9a\u6570\u636e\u96c6\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u5b83\u7684\u7ed3\u6784\u662f\u6839\u636e\u8bad\u7ec3\u6570\u636e\uff08\u79f0\u4e3a train_x \u548c train_y\uff09\u4f18\u5316\u6a21\u578b\uff0c\u540c\u65f6\u5728\u72ec\u7acb\u9a8c\u8bc1\u6570\u636e\u96c6\uff08\u79f0\u4e3a test_x \u548c test_y\uff09\u4e0a\u8bc4\u4f30\u5176\u6027\u80fd\u3002\u8fd9\u4e00\u8fc7\u7a0b\u7684\u7b2c\u4e00\u6b65\u662f\u6a21\u578b\u62df\u5408\u3002\u5728\u6a21\u578b\u5bf9\u8c61\u4e0a\u8c03\u7528\u62df\u5408\u51fd\u6570\uff0c\u542f\u52a8\u8bad\u7ec3\u5e8f\u5217\u3002\u5728\u8fd9\u4e00\u9636\u6bb5\uff0c\u6a21\u578b\u901a\u8fc7\u53cd\u590d\u4fee\u6539\u53c2\u6570\uff0c\u5b66\u4f1a\u5c06 train_x \u4e2d\u7684\u8f93\u5165\u6570\u636e\u4e0e train_y \u4e2d\u7684\u76f8\u5e94\u8f93\u51fa\u6807\u7b7e\u5173\u8054\u8d77\u6765\u3002\u9a8c\u8bc1\u5728\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u65b9\u9762\u8d77\u7740\u81f3\u5173\u91cd\u8981\u7684\u4f5c\u7528\u3002\u901a\u8fc7\u7eb3\u5165\u9a8c\u8bc1\u6570\u636e\uff0c\u4ee3\u7801\u53ef\u4f7f\u6a21\u578b\u5728\u8bad\u7ec3\u9636\u6bb5\u672a\u5305\u542b\u7684\u6570\u636e\u4e0a\u8bc4\u4f30\u5176\u80fd\u529b\u3002\u8fd9\u79cd\u505a\u6cd5\u5bf9\u4e8e\u76d1\u6d4b\u6a21\u578b\u6cdb\u5316\u5230\u65b0\u7684\u3001\u672a\u89c1\u8fc7\u7684\u5b9e\u4f8b\u7684\u80fd\u529b\u81f3\u5173\u91cd\u8981\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0cepochs \u7684\u6982\u5ff5\u975e\u5e38\u91cd\u8981\u3002epochs \u53c2\u6570\u8868\u793a\u6a21\u578b\u904d\u5386\u6574\u4e2a\u8bad\u7ec3\u6570\u636e\u96c6\u7684\u6b21\u6570\uff0c\u5728\u672c\u4f8b\u4e2d\u8bbe\u7f6e\u4e3a 100 \u6b21\u3002\u8fd9\u79cd\u91cd\u590d\u7ed9\u6a21\u578b\u63d0\u4f9b\u4e86\u591a\u6b21\u4ece\u6570\u636e\u4e2d\u5b66\u4e60\u7684\u673a\u4f1a\uff0c\u4f7f\u5176\u80fd\u591f\u6539\u8fdb\u6743\u91cd\uff0c\u4ece\u800c\u6709\u6548\u5730\u5c06\u9884\u6d4b\u8bef\u5dee\u964d\u5230\u6700\u4f4e\u3002<\/p>\n\n\n\n<p id=\"84ae\">\u53e6\u4e00\u4e2a\u91cd\u8981\u53c2\u6570\u662f\u6279\u91cf\u5927\u5c0f\u3002\u8be5\u53c2\u6570\u6307\u5b9a\u4e86\u5728\u6a21\u578b\u8c03\u6574\u53c2\u6570\u4e4b\u524d\u8981\u96c6\u4f53\u5904\u7406\u7684\u8bad\u7ec3\u6570\u636e\u96c6\u6837\u672c\u6570\u3002\u6279\u91cf\u5927\u5c0f\u4e3a 64 \u610f\u5473\u7740\u8bad\u7ec3\u6570\u636e\u88ab\u5206\u6210 64 \u4e2a\u6837\u672c\u4e00\u7ec4\uff0c\u6a21\u578b\u6309\u987a\u5e8f\u8fdb\u884c\u5904\u7406\u3002\u8fd9\u79cd\u7b56\u7565\u6709\u52a9\u4e8e\u4f18\u5316\u5185\u5b58\u4f7f\u7528\uff0c\u5e76\u6709\u53ef\u80fd\u52a0\u5feb\u8bad\u7ec3\u8fc7\u7a0b\u7684\u6536\u655b\u901f\u5ea6\u3002\u4f7f\u7528\u8be5\u4ee3\u7801\u7684\u7406\u7531\u5305\u62ec\u51e0\u4e2a\u5173\u952e\u65b9\u9762\u3002\u8bad\u7ec3\u6a21\u578b\u662f\u5efa\u7acb\u4e00\u4e2a\u80fd\u591f\u51c6\u786e\u9884\u6d4b\u6216\u5206\u7c7b\u6570\u636e\u7684\u7cfb\u7edf\u7684\u57fa\u7840\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u9a8c\u8bc1\u6570\u636e\u5bf9\u4e8e\u786e\u4fdd\u6a21\u578b\u4e0d\u4f1a\u8fc7\u62df\u5408\u4e5f\u81f3\u5173\u91cd\u8981\uff0c\u8fd9\u4fdd\u8bc1\u4e86\u6a21\u578b\u5728\u8bad\u7ec3\u6570\u636e\u96c6\u4e4b\u5916\u7684\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u6709\u6548\u6027\u3002\u6b64\u5916\uff0c\u8c03\u6574\u8d85\u53c2\u6570\uff08\u5982\u5386\u65f6\u6b21\u6570\u548c\u6279\u91cf\u5927\u5c0f\uff09\u7684\u80fd\u529b\u5141\u8bb8\u4ece\u4e1a\u4eba\u5458\u5bf9\u8bad\u7ec3\u65b9\u6848\u8fdb\u884c\u5fae\u8c03\uff0c\u4ece\u800c\u6839\u636e\u5176\u7279\u5b9a\u7684\u6570\u636e\u96c6\u548c\u76ee\u6807\u63d0\u9ad8\u7ed3\u679c\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>plt.figure(figsize=&#91;10,6])\nplt.plot(model_history.history&#91;'loss'], label='train loss')\nplt.plot(model_history.history&#91;'val_loss'], label='val loss')\nplt.legend()\nplt.show()<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"9131\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*1h3jG1lt8JyoXn3ZwZMt_g.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"9f45\">\u8fd9\u6bb5\u4ee3\u7801\u7684\u4f5c\u7528\u662f\u5c06\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u8fc7\u7a0b\u53ef\u89c6\u5316\uff0c\u7279\u522b\u662f\u901a\u8fc7\u8bf4\u660e\u8bad\u7ec3\u9636\u6bb5\u4e0d\u540c\u5386\u65f6\u7684\u635f\u5931\u503c\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u4ee3\u7801\u9996\u5148\u4e3a\u7ed8\u56fe\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u56fe\u5f62\uff0c\u5e76\u5b9a\u4e49\u4e86\u7279\u5b9a\u7684\u5927\u5c0f\u3002\u968f\u540e\uff0c\u4ee3\u7801\u4f1a\u5728\u56fe\u4e0a\u663e\u793a\u4e24\u6761\u7ebf\uff1a\u4e00\u6761\u7ebf\u4ee3\u8868\u8bad\u7ec3\u635f\u5931\uff0c\u53e6\u4e00\u6761\u7ebf\u4ee3\u8868\u6a21\u578b\u7684\u9a8c\u8bc1\u635f\u5931\u3002\u8fd9\u4e9b\u635f\u5931\u503c\u6765\u81ea\u4e00\u4e2a\u5386\u53f2\u5bf9\u8c61\uff0c\u8be5\u5bf9\u8c61\u5728\u6bcf\u4e2a\u8bad\u7ec3\u5468\u671f\u7ed3\u675f\u65f6\u76d1\u63a7\u6a21\u578b\u7684\u6027\u80fd\u6307\u6807\u3002\u53ef\u89c6\u5316\u4e2d\u5305\u542b\u7684\u56fe\u4f8b\u6709\u52a9\u4e8e\u533a\u5206\u8bad\u7ec3\u635f\u5931\u548c\u9a8c\u8bc1\u635f\u5931\uff0c\u4ece\u800c\u52a0\u5f3a\u5bf9\u7ed3\u679c\u7684\u89e3\u91ca\u3002\u6700\u540e\uff0c\u6211\u4eec\u5c06\u5bf9\u56fe\u8868\u8fdb\u884c\u6e32\u67d3\uff0c\u4ee5\u4f9b\u67e5\u770b\u3002\u8fd9\u6bb5\u4ee3\u7801\u7684\u610f\u4e49\u5728\u4e8e\uff0c\u76d1\u6d4b\u635f\u5931\u503c\u5bf9\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u5b66\u4e60\u6548\u679c\u81f3\u5173\u91cd\u8981\u3002\u901a\u8fc7\u5206\u6790\u8bad\u7ec3\u548c\u9a8c\u8bc1\u635f\u5931\u7684\u8d8b\u52bf\uff0c\u53ef\u4ee5\u6df1\u5165\u4e86\u89e3\u6a21\u578b\u662f\u8868\u73b0\u51fa\u8fc7\u62df\u5408\u3001\u6b20\u62df\u5408\u8fd8\u662f\u5904\u4e8e\u6700\u4f73\u72b6\u6001\u3002\u8fd9\u4e9b\u4fe1\u606f\u5bf9\u4e8e\u5bf9\u6a21\u578b\u67b6\u6784\u3001\u8d85\u53c2\u6570\u548c\u8bad\u7ec3\u7a0b\u5e8f\u8fdb\u884c\u5fc5\u8981\u8c03\u6574\u4ee5\u63d0\u9ad8\u5176\u6574\u4f53\u6027\u80fd\u81f3\u5173\u91cd\u8981\u3002<\/p>\n\n\n\n<p id=\"aae8\">\u9884\u6d4b\u662f\u6307\u6839\u636e\u5386\u53f2\u6570\u636e\u548c\u5206\u6790\u5bf9\u672a\u6765\u4e8b\u4ef6\u8fdb\u884c\u9884\u6d4b\u7684\u8fc7\u7a0b\u3002\u5404\u884c\u5404\u4e1a\u90fd\u5e7f\u6cdb\u91c7\u7528\u8fd9\u79cd\u505a\u6cd5\u6765\u6307\u5bfc\u51b3\u7b56\u548c\u6218\u7565\u89c4\u5212\u3002\u51c6\u786e\u7684\u9884\u6d4b\u81f3\u5173\u91cd\u8981\uff0c\u56e0\u4e3a\u5b83\u6709\u52a9\u4e8e\u4f01\u4e1a\u9884\u6d4b\u5e02\u573a\u8d8b\u52bf\u3001\u6d88\u8d39\u8005\u884c\u4e3a\u548c\u6f5c\u5728\u6311\u6218\u3002\u901a\u8fc7\u5206\u6790\u8fc7\u53bb\u7684\u6a21\u5f0f\u548c\u5f53\u524d\u7684\u6761\u4ef6\uff0c\u4f01\u4e1a\u53ef\u4ee5\u5236\u5b9a\u660e\u667a\u7684\u6218\u7565\uff0c\u4ee5\u52a0\u5f3a\u5176\u8fd0\u8425\u5e76\u63d0\u9ad8\u6574\u4f53\u7ee9\u6548\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>train_predict = model.predict(train_x)\ntest_predict = model.predict(test_x)<\/code><\/pre>\n\n\n\n<p id=\"43f3\">\u8be5\u4ee3\u7801\u7247\u6bb5\u7528\u4e8e\u673a\u5668\u5b66\u4e60\u9886\u57df\uff0c\u7279\u522b\u662f\u5229\u7528\u8bad\u7ec3\u6709\u7d20\u7684\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\u3002\u4ee3\u7801\u5206\u4e3a\u4e24\u4e2a\u4e3b\u8981\u90e8\u5206\uff0c\u5206\u522b\u8d1f\u8d23\u5728\u4e0d\u540c\u7684\u6570\u636e\u96c6\u4e0a\u751f\u6210\u9884\u6d4b\u7ed3\u679c\u3002\u4ee3\u7801\u7684\u7b2c\u4e00\u9879\u5185\u5bb9\u662f\u5bf9\u8bad\u7ec3\u6570\u636e\u96c6\u8fdb\u884c\u9884\u6d4b\u3002train_predict = model.predict(train_x) \u8fd9\u4e00\u884c\u5b8c\u6210\u4e86\u8fd9\u9879\u4efb\u52a1\u3002\u8fd9\u4e00\u6b65\u6709\u4e24\u4e2a\u76ee\u7684\uff1a\u4e00\u662f\u6839\u636e\u8bad\u7ec3\u6570\u636e\u8bc4\u4f30\u6a21\u578b\u7684\u5b66\u4e60\u80fd\u529b\uff0c\u4e8c\u662f\u5c31\u6a21\u578b\u5728\u672a\u9047\u5230\u8fc7\u7684\u6570\u636e\u4e0a\u7684\u6f5c\u5728\u6027\u80fd\u63d0\u4f9b\u6709\u4ef7\u503c\u7684\u89c1\u89e3\u3002\u4ee3\u7801\u7684\u7b2c\u4e8c\u90e8\u5206\u6d89\u53ca\u5bf9\u5355\u72ec\u6d4b\u8bd5\u6570\u636e\u96c6\u7684\u9884\u6d4b\uff0c\u5982 test_predict = model.predict(test_x) \u4e00\u884c\u6240\u793a\u3002\u8fd9\u4e00\u6b65\u5bf9\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\u81f3\u5173\u91cd\u8981\uff0c\u6cdb\u5316\u80fd\u529b\u6307\u7684\u662f\u6a21\u578b\u5728\u672a\u89c1\u6570\u636e\u4e0a\u7684\u8868\u73b0\u3002<\/p>\n\n\n\n<p id=\"fa72\">\u5728\u8fd9\u91cc\uff0c&#8221;\u6a21\u578b &#8220;\u4e00\u8bcd\u6307\u7684\u662f\u5148\u524d\u4f7f\u7528\u8bad\u7ec3\u6570\u636e\u96c6\u8bad\u7ec3\u8fc7\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002predict()\u65b9\u6cd5\u5229\u7528\u5728\u8bad\u7ec3\u9636\u6bb5\u5b66\u4e60\u5230\u7684\u6a21\u5f0f\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u4e8e\u63d0\u4f9b\u7684\u8f93\u5165\u6570\u636e\uff08train_x \u6216 test_x\uff09\uff0c\u4ece\u800c\u5f97\u51fa\u8f93\u51fa\u9884\u6d4b\u7ed3\u679c\u3002\u4f7f\u7528\u8be5\u4ee3\u7801\u7684\u7406\u7531\u662f\u591a\u65b9\u9762\u7684\u3002\u901a\u8fc7\u5bf9\u8bad\u7ec3\u6570\u636e\u96c6\u548c\u6d4b\u8bd5\u6570\u636e\u96c6\u8fdb\u884c\u9884\u6d4b\uff0c\u4ece\u4e1a\u4eba\u5458\u53ef\u4ee5\u786e\u5b9a\u6a21\u578b\u7684\u51c6\u786e\u6027\uff0c\u5e76\u8bc6\u522b\u6f5c\u5728\u7684\u95ee\u9898\uff0c\u5982\u8fc7\u62df\u5408\uff0c\u5373\u6a21\u578b\u5728\u8bad\u7ec3\u6570\u636e\u4e0a\u8868\u73b0\u51fa\u8272\uff0c\u4f46\u5728\u9762\u5bf9\u672a\u89c1\u6570\u636e\u65f6\u8868\u73b0\u4e0d\u4f73\u3002\u6b64\u5916\uff0c\u4ed4\u7ec6\u68c0\u67e5\u9884\u6d4b\u7ed3\u679c\u6709\u52a9\u4e8e\u5bf9\u6a21\u578b\u8fdb\u884c\u5fae\u8c03\uff0c\u4e86\u89e3\u5176\u80fd\u529b\u548c\u5c40\u9650\u6027\uff0c\u5e76\u6307\u5bfc\u6709\u5173\u5176\u90e8\u7f72\u6216\u8fdb\u4e00\u6b65\u4fee\u6539\u7684\u51b3\u7b56\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>trainPredictPlot = np.empty_like(df_close)\n<strong>trainPredictPlot&#91;:, :] = np.nan<\/strong>\n<strong>trainPredictPlot&#91;time_step:len(train_predict)+time_step,:] = train_predict<\/strong>\n\ntestPredictPlot = np.empty_like(df_close)\n<strong>testPredictPlot&#91;:, :] = np.nan<\/strong>\ntestPredictPlot&#91;len(train_predict) + (time_step*2) +1:len(df_close)-1, :] = test_predict\n\nplt.figure(figsize=&#91;12,8])\nplt.plot(scaler.inverse_transform(df_close))\nplt.plot(scaler.inverse_transform(trainPredictPlot))\nplt.plot(scaler.inverse_transform(testPredictPlot))\nplt.show()\n\n<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"d54b\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*MUGWv2jkArUyOBma3dw7pg.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"585e\">\u8be5\u4ee3\u7801\u65e8\u5728\u8bf4\u660e\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5728\u8bad\u7ec3\u548c\u6d4b\u8bd5\u9636\u6bb5\u4ea7\u751f\u7684\u9884\u6d4b\u7ed3\u679c\uff0c\u5c24\u5176\u662f\u5728\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u9886\u57df\uff0c\u5305\u62ec\u80a1\u7968\u4ef7\u683c\u548c\u7c7b\u4f3c\u7684\u91d1\u878d\u6307\u6807\u3002<\/p>\n\n\n\n<p id=\"2d86\">\u8d77\u521d\uff0c\u4ee3\u7801\u4f1a\u5efa\u7acb\u4e24\u4e2a\u7a7a\u6570\u7ec4\uff0c\u5206\u522b\u547d\u540d\u4e3a trainPredictPlot \u548c testPredictPlot\uff0c\u4e0e\u539f\u59cb\u6570\u636e\u96c6\u7684\u5c3a\u5bf8\u4e00\u81f4\uff0c\u79f0\u4e3a df_close\u3002\u8fd9\u4e9b\u6570\u7ec4\u7528 NaN\uff08\u975e\u6570\u503c\uff09\u503c\u521d\u59cb\u5316\uff0c\u4ee5\u786e\u4fdd\u6ca1\u6709\u9884\u6d4b\u7684\u533a\u57df\u4e0d\u4f1a\u5e72\u6270\u751f\u6210\u7684\u53ef\u89c6\u5316\u6548\u679c\u3002\u968f\u540e\u7684\u6b65\u9aa4\u662f\u5c06\u4ece\u8bad\u7ec3\u6570\u636e\u96c6\u5f97\u51fa\u7684\u9884\u6d4b\u7ed3\u679c\u586b\u5145\u5230 trainPredictPlot \u6570\u7ec4\u4e2d\u3002\u8fd9\u4e00\u8fc7\u7a0b\u5305\u542b\u4e00\u4e2a\u4e0e\u5b9a\u4e49\u7684\u65f6\u95f4\u6b65\u957f\u76f8\u5bf9\u5e94\u7684\u504f\u79fb\u91cf\uff0c\u5b83\u8003\u8651\u5230\u4e86\u5728\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u80cc\u666f\u4e0b\u751f\u6210\u9884\u6d4b\u65f6\u56fa\u6709\u7684\u5ef6\u8fdf\u3002\u540c\u65f6\uff0c\u4ee3\u7801\u4f1a\u5c06\u6d4b\u8bd5\u9636\u6bb5\u7684\u9884\u6d4b\u7ed3\u679c\u586b\u5165 testPredictPlot \u6570\u7ec4\u3002\u5728\u6b64\uff0c\u4f1a\u6839\u636e\u8bad\u7ec3\u9884\u6d4b\u7684\u6301\u7eed\u65f6\u95f4\u5e94\u7528\u989d\u5916\u7684\u504f\u79fb\u91cf\u3002\u8fd9\u79cd\u8c03\u6574\u53ef\u786e\u4fdd\u9884\u6d4b\u7ed3\u679c\u4e0e\u8bad\u7ec3\u540e\u7684\u76f8\u5e94\u65f6\u95f4\u6bb5\u51c6\u786e\u4e00\u81f4\u3002\u5728\u6700\u540e\u9636\u6bb5\uff0c\u4ee3\u7801\u4f7f\u7528 Matplotlib \u751f\u6210\u4e00\u5e45\u56fe\uff0c\u8868\u793a\u539f\u59cb\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff08\u4e3a\u63d0\u9ad8\u53ef\u89e3\u91ca\u6027\u5df2\u8fdb\u884c\u53cd\u53d8\u6362\uff09\u4ee5\u53ca\u8bad\u7ec3\u548c\u6d4b\u8bd5\u9884\u6d4b\u7ed3\u679c\u3002\u7ed8\u56fe\u8fc7\u7a0b\u5728\u6307\u5b9a\u7684\u56fe\u5f62\u5c3a\u5bf8\u5185\u6267\u884c\uff0c\u4ee5\u63d0\u9ad8\u6e05\u6670\u5ea6\u3002<\/p>\n\n\n\n<p id=\"468b\">\u8be5\u4ee3\u7801\u5229\u7528 NumPy \u8fdb\u884c\u6570\u7ec4\u521b\u5efa\u548c\u64cd\u4f5c\uff0c\u4ece\u800c\u5728\u4e0d\u6539\u53d8\u539f\u59cb\u6570\u636e\u96c6\u7684\u60c5\u51b5\u4e0b\u5b9e\u73b0\u6570\u636e\u53ef\u89c6\u5316\u3002\u901a\u8fc7\u7f29\u653e\u5668\u8fdb\u884c\u7684\u9006\u53d8\u6362\u662f\u4e00\u4e2a\u91cd\u8981\u65b9\u9762\uff0c\u56e0\u4e3a\u5b83\u80fd\u5c06\u5f52\u4e00\u5316\u6570\u636e\u8f6c\u6362\u56de\u539f\u59cb\u6bd4\u4f8b\uff0c\u4ece\u800c\u4f7f\u53ef\u89c6\u5316\u66f4\u6709\u610f\u4e49\u3001\u66f4\u6613\u7406\u89e3\u3002<\/p>\n\n\n\n<p id=\"d6d7\">\u4f7f\u7528\u8be5\u4ee3\u7801\u7684\u7406\u7531\u662f\u591a\u65b9\u9762\u7684\u3002\u5b83\u6709\u52a9\u4e8e\u5bf9\u5b9e\u9645\u89c2\u6d4b\u503c\u548c\u9884\u6d4b\u503c\u8fdb\u884c\u53ef\u89c6\u5316\u6bd4\u8f83\uff0c\u8fd9\u5bf9\u4e8e\u8bc4\u4f30\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u6709\u6548\u6027\u81f3\u5173\u91cd\u8981\u3002\u6b64\u5916\uff0c\u901a\u8fc7\u76f4\u89c2\u5730\u8bc4\u4f30\u6a21\u578b\u9884\u6d4b\u503c\u4e0e\u5b9e\u9645\u6570\u636e\u7684\u543b\u5408\u7a0b\u5ea6\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u4e86\u89e3\u6a21\u578b\u6355\u6349\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6a21\u5f0f\u7684\u80fd\u529b\uff0c\u4ee5\u53ca\u8bc6\u522b\u4efb\u4f55\u53ef\u80fd\u8868\u660e\u62df\u5408\u8fc7\u5ea6\u6216\u62df\u5408\u4e0d\u8db3\u7684\u4e0d\u4e00\u81f4\u6027\u3002<\/p>\n\n\n\n<p id=\"2279\">\u6700\u540e\uff0c\u62a5\u544a\u6216\u6f14\u793a\u901a\u5e38\u9700\u8981\u5bf9\u7ed3\u679c\u8fdb\u884c\u53ef\u89c6\u5316\u5448\u73b0\uff0c\u4ee5\u4fbf\u5229\u76ca\u76f8\u5173\u8005\u8f7b\u677e\u7406\u89e3\u9884\u6d4b\u6a21\u578b\u7684\u529f\u6548\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>temp_input = list(x_input)\ntemp_input = temp_input&#91;0].tolist()\ntemp_input<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"91bd\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*xzg5wZ4bwXrJPYkCuqcRLQ.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"675a\">\u60a8\u63d0\u4f9b\u7684\u4ee3\u7801\u7247\u6bb5\u5bf9\u540d\u4e3a x_input \u7684\u8f93\u5165\u53d8\u91cf\u6267\u884c\u4e86\u4e00\u7cfb\u5217\u64cd\u4f5c\u3002\u7b2c\u4e00\u4e2a\u64cd\u4f5c\u662f\u5c06 x_input \u8f6c\u6362\u4e3a\u540d\u4e3a temp_input \u7684\u5217\u8868\u3002\u5f53 x_input \u6765\u81ea\u4e8e\u7c7b\u4f3c\u4e8e\u6570\u7ec4\u7684\u7ed3\u6784\uff08\u5982 numpy \u6570\u7ec4\uff09\u65f6\uff0c\u8fd9\u79cd\u8f6c\u6362\u662f\u6709\u76ca\u7684\uff0c\u56e0\u4e3a\u5b83\u5141\u8bb8\u5728\u6807\u51c6 Python \u5217\u8868\u6846\u67b6\u5185\u66f4\u5bb9\u6613\u5730\u8fed\u4ee3\u548c\u64cd\u4f5c\u3002<\/p>\n\n\n\n<p id=\"f344\">\u63a5\u4e0b\u6765\uff0c\u4ee3\u7801\u901a\u8fc7\u4f7f\u7528\u7d22\u5f15 0 \u8bbf\u95ee temp_input \u6765\u83b7\u53d6\u7b2c\u4e00\u4e2a\u5143\u7d20\uff0c\u968f\u540e\u5728\u8be5\u5143\u7d20\u4e0a\u8c03\u7528 tolist() \u65b9\u6cd5\u3002\u8fd9\u8868\u660e\u7b2c\u4e00\u4e2a\u5143\u7d20\u5f88\u53ef\u80fd\u662f\u53e6\u4e00\u4e2a\u7c7b\u4f3c\u6570\u7ec4\u7684\u7ed3\u6784\uff0c\u53ef\u80fd\u662f\u4e00\u4e2a numpy \u6570\u7ec4\u3002\u4f7f\u7528 tolist() \u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u8be5\u5143\u7d20\u8f6c\u6362\u4e3a\u4f20\u7edf\u7684\u5217\u8868\u683c\u5f0f\u3002\u8fd9\u4e00\u6b65\u589e\u5f3a\u4e86\u6570\u636e\u5904\u7406\u7684\u7075\u6d3b\u6027\uff0c\u5c24\u5176\u662f\u5f53\u7b2c\u4e00\u4e2a\u5143\u7d20\u5305\u542b\u5173\u952e\u4fe1\u606f\u65f6\u3002<\/p>\n\n\n\n<p id=\"cd92\">\u6700\u540e\u7684\u64cd\u4f5c\u8f93\u51fa temp_input\uff0c\u5b83\u73b0\u5728\u5305\u542b\u4e86\u4ece\u539f\u59cb\u8f93\u5165\u7684\u521d\u59cb\u5143\u7d20\u6d3e\u751f\u51fa\u6765\u7684\u5217\u8868\u3002\u8fd9\u5b9e\u9645\u4e0a\u4ea7\u751f\u4e86\u4e00\u4e2a\u6807\u51c6\u7684 Python \u5217\u8868\uff0c\u53ef\u7528\u4e8e\u8fdb\u4e00\u6b65\u7684\u64cd\u4f5c\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>output = &#91;]\ndays = 517\nfor i in range(days):\n    print('start')\n    x_input = np.array(temp_input&#91;i:])\n    print(f'{i} day input {x_input}')    \n    x_input = x_input.reshape((1, time_step, 1))\n    yhat = model.predict(x_input, verbose=0)\n    print(yhat)\n    temp_input.extend(yhat&#91;0].tolist())\n    output.extend(yhat&#91;0].tolist())<\/code><\/pre>\n\n\n\n<figure class=\"wp-block-image\" id=\"0b58\"><img decoding=\"async\" src=\"https:\/\/cdn-images-1.readmedium.com\/v2\/resize:fit:800\/1*sJZWxANZrVk52LG-tKSn-A.png\" alt=\"\"\/><\/figure>\n\n\n\n<p id=\"6d80\">\u8be5\u4ee3\u7801\u7247\u6bb5\u7528\u4e8e\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u9884\u6d4b\uff0c\u53ef\u80fd\u4e0e\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6709\u5173\u3002<\/p>\n\n\n\n<p id=\"7d77\">\u6700\u521d\uff0c\u5efa\u7acb\u4e86\u4e00\u4e2a\u540d\u4e3a output \u7684\u7a7a\u5217\u8868\u6765\u5b58\u50a8\u9884\u6d4b\u7ed3\u679c\u3002\u540d\u4e3a\u5929\u6570\u7684\u53d8\u91cf\u88ab\u8d4b\u503c\u4e3a 517\uff0c\u4ee3\u8868\u5c06\u751f\u6210\u9884\u6d4b\u7ed3\u679c\u7684\u5929\u6570\u3002\u968f\u540e\uff0c\u542f\u52a8\u4e00\u4e2a\u5faa\u73af\uff0c\u6301\u7eed\u6307\u5b9a\u7684\u5929\u6570\u3002\u6bcf\u6b21\u8fed\u4ee3\u90fd\u4f1a\u6267\u884c\u82e5\u5e72\u64cd\u4f5c\u3002\u9996\u5148\u4f1a\u6253\u5370\u4e00\u6761\u4fe1\u606f\uff0c\u8868\u793a\u5f00\u59cb\u9884\u6d4b\u5f53\u524d\u5929\u6570\u3002\u7136\u540e\uff0c\u4ee3\u7801\u4f1a\u68c0\u7d22\u4e00\u6bb5\u8f93\u5165\u6570\u636e\uff08\u79f0\u4e3a temp_input\uff09\uff0c\u8be5\u6570\u636e\u4ece\u5f53\u524d\u65e5\u671f\u7684\u7d22\u5f15\u5f00\u59cb\uff0c\u4f5c\u4e3a\u6a21\u578b\u7684\u8f93\u5165\u3002\u8f93\u5165\u6570\u636e\u7684\u5f62\u72b6\u901a\u8fc7\u91cd\u5851\u8fc7\u7a0b\u8fdb\u884c\u8c03\u6574\uff0c\u8fd9\u5bf9\u6a21\u578b\u51c6\u786e\u89e3\u91ca\u8f93\u5165\u7ef4\u5ea6\u81f3\u5173\u91cd\u8981\u3002\u8fd9\u79cd\u8f6c\u6362\u4f7f\u6570\u636e\u4e0e\u6a21\u578b\u6240\u9700\u7684\u9884\u671f\u683c\u5f0f\u4fdd\u6301\u4e00\u81f4\uff0c\u5305\u62ec\u4e00\u4e2a\u5e8f\u5217\u3001\u89c4\u5b9a\u7684\u65f6\u95f4\u6b65\u6570\u548c\u4e00\u4e2a\u7279\u5f81\u3002\u7136\u540e\uff0c\u6a21\u578b\u6839\u636e\u91cd\u5851\u540e\u7684\u8f93\u5165\u751f\u6210\u9884\u6d4b\u7ed3\u679c\u3002\u53c2\u6570 verbose=0 \u53ef\u4ee5\u9632\u6b62\u5728\u9884\u6d4b\u9636\u6bb5\u51fa\u73b0\u4efb\u4f55\u65e0\u5173\u8f93\u51fa\uff0c\u4ece\u800c\u63d0\u9ad8\u6548\u7387\u548c\u6e05\u6670\u5ea6\u3002\u9884\u6d4b\u7ed3\u675f\u540e\uff0c\u5c06\u6253\u5370\u51fa\u4f30\u8ba1\u503c\uff0c\u63d0\u4f9b\u6709\u5173\u6a21\u578b\u5f53\u5929\u9884\u6d4b\u7684\u5b9e\u65f6\u53cd\u9988\u3002\u6b64\u5916\uff0c\u8be5\u9884\u6d4b\u503c\u8fd8\u88ab\u7eb3\u5165 temp_input \u548c\u8f93\u51fa\u4e2d\u3002\u901a\u8fc7\u5c06\u5176\u6dfb\u52a0\u5230 temp_input \u4e2d\uff0c\u4ee3\u7801\u53ef\u786e\u4fdd\u968f\u540e\u51e0\u5929\u7684\u8f93\u5165\u6570\u636e\u90fd\u5305\u542b\u8be5\u9884\u6d4b\u503c\uff0c\u4ece\u800c\u4fc3\u8fdb\u6301\u7eed\u7684\u9884\u6d4b\u8fc7\u7a0b\u3002<\/p>\n\n\n\n<p id=\"ad47\">\u8be5\u4ee3\u7801\u7684\u57fa\u672c\u539f\u7406\u5728\u4e8e\u5176\u5728\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u4e2d\u7684\u5e94\u7528\uff0c\u8fd9\u5728\u9700\u8981\u6839\u636e\u5386\u53f2\u6570\u636e\uff08\u5982\u80a1\u7968\u4ef7\u683c\u3001\u5929\u6c14\u6a21\u5f0f\u548c\u9500\u552e\u9884\u6d4b\uff09\u9884\u6d4b\u672a\u6765\u4ef7\u503c\u7684\u60c5\u51b5\u4e0b\u81f3\u5173\u91cd\u8981\u3002\u8fd9\u79cd\u8fed\u4ee3\u9884\u6d4b\u65b9\u6cd5\u5141\u8bb8\u751f\u6210\u968f\u65f6\u95f4\u6f14\u53d8\u7684\u9884\u6d4b\uff0c\u56e0\u4e3a\u6bcf\u4e2a\u65b0\u7684\u9884\u6d4b\u90fd\u4f1a\u6574\u5408\u4e4b\u524d\u7684\u7ed3\u679c\u3002\u4e8b\u5b9e\u8bc1\u660e\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5c24\u5176\u9002\u7528\u4e8e\u9884\u6d4b\u4f1a\u53d1\u751f\u53d8\u5316\u7684\u52a8\u6001\u73af\u5883\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\u89c2\u70b9\u603b\u7ed3\uff1a<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u5806\u53e0 LSTM \u7f51\u7edc\u80fd\u591f\u6709\u6548\u6355\u6349\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u7684\u65f6\u95f4\u4f9d\u8d56\u6027\uff0c\u9002\u7528\u4e8e\u5e02\u573a\u8d8b\u52bf\u9884\u6d4b\u3002<\/li>\n\n\n\n<li>\u6570\u636e\u9884\u5904\u7406\uff08\u5982\u5f52\u4e00\u5316\u3001\u5206\u5272\u4e3a\u8bad\u7ec3\u548c\u6d4b\u8bd5\u96c6\uff09\u5bf9\u4e8e\u6a21\u578b\u7684\u51c6\u786e\u6027\u548c\u6cdb\u5316\u80fd\u529b\u81f3\u5173\u91cd\u8981\u3002<\/li>\n\n\n\n<li>\u901a\u8fc7\u76d1\u6d4b\u8bad\u7ec3\u548c\u9a8c\u8bc1\u635f\u5931\u503c\uff0c\u53ef\u4ee5\u8bc4\u4f30\u6a21\u578b\u7684\u5b66\u4e60\u6548\u679c\uff0c\u5e76\u53ca\u65f6\u8c03\u6574\u6a21\u578b\u7ed3\u6784\u6216\u53c2\u6570\u4ee5\u907f\u514d\u8fc7\u62df\u5408\u6216\u6b20\u62df\u5408\u3002<\/li>\n\n\n\n<li>\u6a21\u578b\u9884\u6d4b\u7ed3\u679c\u7684\u53ef\u89c6\u5316\u5bf9\u4e8e\u7406\u89e3\u6a21\u578b\u6027\u80fd\u548c\u6307\u5bfc\u5b9e\u9645\u5e94\u7528\u81f3\u5173\u91cd\u8981\u3002<\/li>\n\n\n\n<li>\u51c6\u786e\u7684\u5e02\u573a\u9884\u6d4b\u5bf9\u4e8e\u6295\u8d44\u8005\u548c\u91d1\u878d\u4e13\u4e1a\u4eba\u58eb\u505a\u51fa\u660e\u667a\u51b3\u7b56\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong><mark style=\"background-color:#ffffff\" class=\"has-inline-color has-cyan-bluish-gray-color\">\u672c\u6587\u5185\u5bb9\u4ec5\u4ec5\u662f\u6280\u672f\u63a2\u8ba8\u548c\u5b66\u4e60\uff0c\u5e76\u4e0d\u6784\u6210\u4efb\u4f55\u6295\u8d44\u5efa\u8bae\u3002<\/mark><\/strong><\/p>\n\n\n\n<p class=\"has-text-align-center\"><strong><mark style=\"background-color:#ffffff\" class=\"has-inline-color has-cyan-bluish-gray-color\">\u8f6c\u53d1\u8bf7\u6ce8\u660e\u539f\u4f5c\u8005\u548c\u51fa\u5904\u3002<\/mark><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4f5c\u8005\uff1a\u8001\u4f59\u635e\u9c7c \u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002&#8230;<\/p>\n<div class=\"more-link-wrapper\"><a class=\"more-link\" href=\"https:\/\/blog.laoyulaoyu.top\/index.php\/2024\/09\/05\/%e4%bd%bf%e7%94%a8%e5%a0%86%e5%8f%a0-lstm-%e6%a8%a1%e5%9e%8b%e9%a2%84%e6%b5%8b%e5%b8%82%e5%9c%ba%e8%b6%8b%e5%8a%bf\/\">Continue reading<span class=\"screen-reader-text\">\u4f7f\u7528\u5806\u53e0 LSTM \u6a21\u578b\u9884\u6d4b\u5e02\u573a\u8d8b\u52bf<\/span><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[3,4,6],"class_list":{"0":"post-1396","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"hentry","6":"category-aiinvest","7":"tag-ai","9":"tag-6","10":"entry"},"_links":{"self":[{"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/posts\/1396","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/comments?post=1396"}],"version-history":[{"count":1,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/posts\/1396\/revisions"}],"predecessor-version":[{"id":1397,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/posts\/1396\/revisions\/1397"}],"wp:attachment":[{"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/media?parent=1396"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/categories?post=1396"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.laoyulaoyu.top\/index.php\/wp-json\/wp\/v2\/tags?post=1396"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}