{"id":196468,"date":"2024-11-13T23:50:27","date_gmt":"2024-11-13T15:50:27","guid":{"rendered":"https:\/\/server.hk\/cnblog\/196468\/"},"modified":"2024-11-13T23:50:28","modified_gmt":"2024-11-13T15:50:28","slug":"%e6%99%ba%e6%85%a7%e6%8e%a2%e7%b4%a2%ef%bc%9a%e6%8e%a2%e7%a9%b6%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%9c%a8%e6%95%b8%e6%93%9a%e5%ba%ab%e4%b8%ad%e7%9a%84%e9%81%8b%e7%94%a8-%e4%ba%ba%e5%b7%a5%e6%99%ba","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/196468\/","title":{"rendered":"\u667a\u6167\u63a2\u7d22\uff1a\u63a2\u7a76\u4eba\u5de5\u667a\u80fd\u5728\u6578\u64da\u5eab\u4e2d\u7684\u904b\u7528 (\u4eba\u5de5\u667a\u80fd\u7528\u6578\u64da\u5eab\u55ce)"},"content":{"rendered":"<h1 id=\"%e6%99%ba%e6%85%a7%e6%8e%a2%e7%b4%a2%ef%bc%9a%e6%8e%a2%e7%a9%b6%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e5%9c%a8%e6%95%b8%e6%93%9a%e5%ba%ab%e4%b8%ad%e7%9a%84%e9%81%8b%e7%94%a8-ueCVLuoYbG\">\u667a\u6167\u63a2\u7d22\uff1a\u63a2\u7a76\u4eba\u5de5\u667a\u80fd\u5728\u6578\u64da\u5eab\u4e2d\u7684\u904b\u7528<\/h1>\n<p>\u96a8\u8457\u79d1\u6280\u7684\u8fc5\u901f\u767c\u5c55\uff0c\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u5728\u5404\u500b\u9818\u57df\u7684\u61c9\u7528\u8d8a\u4f86\u8d8a\u5ee3\u6cdb\uff0c\u5c24\u5176\u662f\u5728\u6578\u64da\u5eab\u7ba1\u7406\u548c\u6578\u64da\u5206\u6790\u65b9\u9762\u3002\u6578\u64da\u5eab\u4f5c\u70ba\u4fe1\u606f\u5b58\u5132\u548c\u7ba1\u7406\u7684\u6838\u5fc3\uff0c\u8207\u4eba\u5de5\u667a\u80fd\u7684\u7d50\u5408\u4e0d\u50c5\u63d0\u5347\u4e86\u6578\u64da\u8655\u7406\u7684\u6548\u7387\uff0c\u9084\u70ba\u4f01\u696d\u63d0\u4f9b\u4e86\u66f4\u6df1\u5c64\u6b21\u7684\u6d1e\u5bdf\u529b\u3002\u672c\u6587\u5c07\u63a2\u8a0e\u4eba\u5de5\u667a\u80fd\u5728\u6578\u64da\u5eab\u4e2d\u7684\u904b\u7528\uff0c\u4e26\u5206\u6790\u5176\u5e36\u4f86\u7684\u8b8a\u9769\u3002<\/p>\n<h2 id=\"%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e8%88%87%e6%95%b8%e6%93%9a%e5%ba%ab%e7%9a%84%e7%b5%90%e5%90%88-ueCVLuoYbG\">\u4eba\u5de5\u667a\u80fd\u8207\u6578\u64da\u5eab\u7684\u7d50\u5408<\/h2>\n<p>\u4eba\u5de5\u667a\u80fd\u6280\u8853\uff0c\u7279\u5225\u662f\u6a5f\u5668\u5b78\u7fd2\u548c\u6df1\u5ea6\u5b78\u7fd2\uff0c\u80fd\u5920\u5f9e\u5927\u91cf\u6578\u64da\u4e2d\u63d0\u53d6\u6709\u50f9\u503c\u7684\u4fe1\u606f\u3002\u9019\u4e9b\u6280\u8853\u53ef\u4ee5\u7528\u65bc\u6578\u64da\u5eab\u7684\u591a\u500b\u65b9\u9762\uff0c\u5305\u62ec\u6578\u64da\u9810\u6e2c\u3001\u7570\u5e38\u6aa2\u6e2c\u548c\u81ea\u52d5\u5316\u6578\u64da\u7ba1\u7406\u3002<\/p>\n<h3 id=\"%e6%95%b8%e6%93%9a%e9%a0%90%e6%b8%ac-ueCVLuoYbG\">\u6578\u64da\u9810\u6e2c<\/h3>\n<p>\u6578\u64da\u9810\u6e2c\u662f\u4eba\u5de5\u667a\u80fd\u5728\u6578\u64da\u5eab\u4e2d\u6700\u5e38\u898b\u7684\u61c9\u7528\u4e4b\u4e00\u3002\u901a\u904e\u5206\u6790\u6b77\u53f2\u6578\u64da\uff0c\u6a5f\u5668\u5b78\u7fd2\u6a21\u578b\u53ef\u4ee5\u9810\u6e2c\u672a\u4f86\u7684\u8da8\u52e2\u3002\u4f8b\u5982\uff0c\u96f6\u552e\u696d\u53ef\u4ee5\u5229\u7528AI\u6a21\u578b\u5206\u6790\u904e\u53bb\u7684\u92b7\u552e\u6578\u64da\uff0c\u9810\u6e2c\u672a\u4f86\u7684\u92b7\u552e\u60c5\u6cc1\uff0c\u5f9e\u800c\u66f4\u597d\u5730\u7ba1\u7406\u5eab\u5b58\u548c\u5236\u5b9a\u71df\u92b7\u7b56\u7565\u3002<\/p>\n<pre><code>\n# Python\u7bc4\u4f8b\uff1a\u4f7f\u7528\u7dda\u6027\u56de\u6b78\u9032\u884c\u6578\u64da\u9810\u6e2c\nfrom sklearn.linear_model import LinearRegression\nimport numpy as np\n\n# \u5047\u8a2d\u6709\u904e\u53bb\u7684\u92b7\u552e\u6578\u64da\nX = np.array([[1], [2], [3], [4], [5]])  # \u6642\u9593\ny = np.array([100, 150, 200, 250, 300])  # \u92b7\u552e\u984d\n\nmodel = LinearRegression()\nmodel.fit(X, y)\n\n# \u9810\u6e2c\u672a\u4f86\u7684\u92b7\u552e\u984d\nfuture = np.array([[6]])\npredicted_sales = model.predict(future)\nprint(predicted_sales)\n<\/code><\/pre>\n<h3 id=\"%e7%95%b0%e5%b8%b8%e6%aa%a2%e6%b8%ac-ueCVLuoYbG\">\u7570\u5e38\u6aa2\u6e2c<\/h3>\n<p>\u5728\u6578\u64da\u5eab\u4e2d\uff0c\u7570\u5e38\u6aa2\u6e2c\u662f\u53e6\u4e00\u500b\u91cd\u8981\u7684\u61c9\u7528\u9818\u57df\u3002\u901a\u904e\u4f7f\u7528AI\u6280\u8853\uff0c\u7cfb\u7d71\u53ef\u4ee5\u81ea\u52d5\u8b58\u5225\u4e0d\u5c0b\u5e38\u7684\u6578\u64da\u6a21\u5f0f\uff0c\u9019\u5c0d\u65bc\u91d1\u878d\u4ea4\u6613\u3001\u7db2\u7d61\u5b89\u5168\u7b49\u9818\u57df\u5c24\u70ba\u91cd\u8981\u3002\u4f8b\u5982\uff0c\u9280\u884c\u53ef\u4ee5\u5229\u7528AI\u6aa2\u6e2c\u53ef\u7591\u7684\u4ea4\u6613\u884c\u70ba\uff0c\u5f9e\u800c\u53ca\u6642\u9632\u6b62\u8a50\u9a19\u3002<\/p>\n<pre><code>\n# Python\u7bc4\u4f8b\uff1a\u4f7f\u7528Isolation Forest\u9032\u884c\u7570\u5e38\u6aa2\u6e2c\nfrom sklearn.ensemble import IsolationForest\n\n# \u5047\u8a2d\u6709\u4e00\u7d44\u4ea4\u6613\u6578\u64da\ndata = [[100], [150], [200], [250], [1000]]  # \u6700\u5f8c\u4e00\u500b\u6578\u64da\u9ede\u662f\u7570\u5e38\u503c\n\nmodel = IsolationForest(contamination=0.1)\nmodel.fit(data)\n\n# \u9810\u6e2c\u7570\u5e38\npredictions = model.predict(data)\nprint(predictions)  # -1\u8868\u793a\u7570\u5e38\uff0c1\u8868\u793a\u6b63\u5e38\n<\/code><\/pre>\n<h3 id=\"%e8%87%aa%e5%8b%95%e5%8c%96%e6%95%b8%e6%93%9a%e7%ae%a1%e7%90%86-ueCVLuoYbG\">\u81ea\u52d5\u5316\u6578\u64da\u7ba1\u7406<\/h3>\n<p>\u4eba\u5de5\u667a\u80fd\u9084\u53ef\u4ee5\u81ea\u52d5\u5316\u6578\u64da\u5eab\u7684\u7ba1\u7406\u4efb\u52d9\uff0c\u4f8b\u5982\u6578\u64da\u6e05\u7406\u548c\u6578\u64da\u6574\u5408\u3002\u9019\u4e0d\u50c5\u6e1b\u5c11\u4e86\u4eba\u5de5\u5e72\u9810\u7684\u9700\u6c42\uff0c\u9084\u63d0\u9ad8\u4e86\u6578\u64da\u7684\u6e96\u78ba\u6027\u548c\u4e00\u81f4\u6027\u3002AI\u7cfb\u7d71\u53ef\u4ee5\u81ea\u52d5\u8b58\u5225\u91cd\u8907\u6578\u64da\u3001\u586b\u88dc\u7f3a\u5931\u503c\uff0c\u4e26\u5c07\u4f86\u81ea\u4e0d\u540c\u4f86\u6e90\u7684\u6578\u64da\u6574\u5408\u5230\u4e00\u8d77\u3002<\/p>\n<h2 id=\"%e6%9c%aa%e4%be%86%e5%b1%95%e6%9c%9b-ueCVLuoYbG\">\u672a\u4f86\u5c55\u671b<\/h2>\n<p>\u96a8\u8457\u4eba\u5de5\u667a\u80fd\u6280\u8853\u7684\u9032\u4e00\u6b65\u767c\u5c55\uff0c\u672a\u4f86\u5728\u6578\u64da\u5eab\u4e2d\u7684\u61c9\u7528\u5c07\u66f4\u52a0\u5ee3\u6cdb\u3002AI\u4e0d\u50c5\u80fd\u5920\u63d0\u9ad8\u6578\u64da\u8655\u7406\u7684\u6548\u7387\uff0c\u9084\u80fd\u5e6b\u52a9\u4f01\u696d\u505a\u51fa\u66f4\u660e\u667a\u7684\u6c7a\u7b56\u3002\u96a8\u8457\u6578\u64da\u91cf\u7684\u6301\u7e8c\u589e\u9577\uff0c\u5982\u4f55\u6709\u6548\u5730\u5229\u7528\u9019\u4e9b\u6578\u64da\u5c07\u6210\u70ba\u4f01\u696d\u6210\u529f\u7684\u95dc\u9375\u3002<\/p>\n<h2 id=\"%e7%b5%90%e8%ab%96-ueCVLuoYbG\">\u7d50\u8ad6<\/h2>\n<p>\u4eba\u5de5\u667a\u80fd\u5728\u6578\u64da\u5eab\u4e2d\u7684\u904b\u7528\u6b63\u9010\u6f38\u6539\u8b8a\u6211\u5011\u8655\u7406\u548c\u5206\u6790\u6578\u64da\u7684\u65b9\u5f0f\u3002\u5f9e\u6578\u64da\u9810\u6e2c\u5230\u7570\u5e38\u6aa2\u6e2c\uff0c\u518d\u5230\u81ea\u52d5\u5316\u6578\u64da\u7ba1\u7406\uff0cAI\u6280\u8853\u7684\u61c9\u7528\u4e0d\u50c5\u63d0\u9ad8\u4e86\u6548\u7387\uff0c\u9084\u70ba\u4f01\u696d\u63d0\u4f9b\u4e86\u66f4\u6df1\u5c64\u6b21\u7684\u6d1e\u5bdf\u529b\u3002\u96a8\u8457\u6280\u8853\u7684\u9032\u6b65\uff0c\u672a\u4f86\u6211\u5011\u53ef\u4ee5\u671f\u5f85\u66f4\u591a\u5275\u65b0\u61c9\u7528\u7684\u51fa\u73fe\u3002<\/p>\n<p>\u5982\u9700\u4e86\u89e3\u66f4\u591a\u95dc\u65bc <a href=\"https:\/\/server.hk\">VPS<\/a> \u548c\u6578\u64da\u5eab\u7ba1\u7406\u7684\u8cc7\u8a0a\uff0c\u8acb\u8a2a\u554f\u6211\u5011\u7684\u7db2\u7ad9\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u63a2\u7d22\u4eba\u5de5\u667a\u80fd\u5728\u6578\u64da\u5eab\u4e2d\u7684\u61c9\u7528\uff0c\u63ed\u793a\u5176\u5982\u4f55\u63d0\u5347\u6578\u64da\u7ba1\u7406\u3001\u5206\u6790\u6548\u7387\u53ca\u6c7a\u7b56\u652f\u6301\u7684\u6f5b\u529b\u3002<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101],"tags":[],"class_list":["post-196468","post","type-post","status-publish","format-standard","hentry","category-database"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/196468","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=196468"}],"version-history":[{"count":1,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/196468\/revisions"}],"predecessor-version":[{"id":196469,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/196468\/revisions\/196469"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=196468"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=196468"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=196468"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}