{"id":608,"date":"2023-11-09T17:55:46","date_gmt":"2023-11-09T09:55:46","guid":{"rendered":"http:\/\/ai.gitpp.com\/?p=608"},"modified":"2023-11-09T17:55:46","modified_gmt":"2023-11-09T09:55:46","slug":"%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e4%b8%ad%e7%9a%84%e5%9b%9e%e5%bd%92%ef%bc%88regression%ef%bc%89","status":"publish","type":"post","link":"http:\/\/ai.gitpp.com\/index.php\/2023\/11\/09\/%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e4%b8%ad%e7%9a%84%e5%9b%9e%e5%bd%92%ef%bc%88regression%ef%bc%89\/","title":{"rendered":"\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u56de\u5f52\uff08Regression\uff09"},"content":{"rendered":"\n

<\/p>\n\n\n\n

<\/p>\n\n\n\n

\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u56de\u5f52\uff08Regression\uff09\u662f\u4e00\u79cd\u9884\u6d4b\u8fde\u7eed\u578b\u8f93\u51fa\u53d8\u91cf\uff08y\uff09\u4e0e\u8f93\u5165\u53d8\u91cf\uff08x\uff09\u4e4b\u95f4\u5173\u7cfb\u7684\u7b97\u6cd5\u3002\u4e0e\u5206\u7c7b\u95ee\u9898\u76f8\u6bd4\uff0c\u56de\u5f52\u95ee\u9898\u5173\u6ce8\u7684\u662f\u9884\u6d4b\u4e00\u4e2a\u8fde\u7eed\u7684\u6570\u503c\uff0c\u800c\u4e0d\u662f\u79bb\u6563\u7684\u7c7b\u522b\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u56de\u5f52\u5206\u6790\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u4e86\u89e3\u8f93\u5165\u53d8\u91cf\u5982\u4f55\u5f71\u54cd\u8f93\u51fa\u53d8\u91cf\uff0c\u4ece\u800c\u8fdb\u884c\u9884\u6d4b\u548c\u51b3\u7b56\u3002<\/p>\n\n\n\n

\u4ee5\u4e0b\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u4e00\u4e9b\u5e38\u7528\u7684\u56de\u5f52\u7b97\u6cd5\uff1a<\/p>\n\n\n\n

    \n
  1. \u7ebf\u6027\u56de\u5f52\uff08Linear Regression\uff09\uff1a
    \u7ebf\u6027\u56de\u5f52\u662f\u901a\u8fc7\u7ebf\u6027\u51fd\u6570\u6765\u63cf\u8ff0\u8f93\u5165\u53d8\u91cf\u548c\u8f93\u51fa\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u5b83\u662f\u673a\u5668\u5b66\u4e60\u4e2d\u6700\u65e9\u88ab\u63d0\u51fa\u7684\u7b97\u6cd5\u4e4b\u4e00\uff0c\u7b80\u5355\u6613\u61c2\u3001\u8ba1\u7b97\u901f\u5ea6\u5feb\u3002\u7136\u800c\uff0c\u7ebf\u6027\u56de\u5f52\u5bf9\u4e8e\u975e\u7ebf\u6027\u5173\u7cfb\u7684\u6570\u636e\u8868\u73b0\u4e0d\u4f73\u3002<\/li>\n\n\n\n
  2. \u591a\u9879\u5f0f\u56de\u5f52\uff08Polynomial Regression\uff09\uff1a
    \u591a\u9879\u5f0f\u56de\u5f52\u662f\u5728\u7ebf\u6027\u56de\u5f52\u7684\u57fa\u7840\u4e0a\uff0c\u4f7f\u7528\u591a\u9879\u5f0f\u51fd\u6570\u6765\u63cf\u8ff0\u8f93\u5165\u53d8\u91cf\u548c\u8f93\u51fa\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002\u8fd9\u4f7f\u5f97\u591a\u9879\u5f0f\u56de\u5f52\u80fd\u591f\u62df\u5408\u66f4\u590d\u6742\u7684\u975e\u7ebf\u6027\u5173\u7cfb\u3002\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u8fc7\u9ad8\u9636\u6570\u7684\u591a\u9879\u5f0f\u5bb9\u6613\u8fc7\u62df\u5408\u3002<\/li>\n\n\n\n
  3. \u6307\u6570\u56de\u5f52\uff08Exponential Regression\uff09\uff1a
    \u6307\u6570\u56de\u5f52\u9002\u7528\u4e8e\u8f93\u51fa\u53d8\u91cf\u4e0e\u8f93\u5165\u53d8\u91cf\u4e4b\u95f4\u5177\u6709\u6307\u6570\u5173\u7cfb\u7684\u95ee\u9898\u3002\u901a\u8fc7\u4f7f\u7528\u6307\u6570\u51fd\u6570\uff0c\u6307\u6570\u56de\u5f52\u53ef\u4ee5\u8f83\u597d\u5730\u62df\u5408\u8fd9\u7c7b\u6570\u636e\u5173\u7cfb\u3002<\/li>\n\n\n\n
  4. \u903b\u8f91\u56de\u5f52\uff08Logistic Regression\uff09\uff1a
    \u903b\u8f91\u56de\u5f52\u662f\u4e00\u79cd\u7528\u4e8e\u89e3\u51b3\u5206\u7c7b\u95ee\u9898\u7684\u56de\u5f52\u7b97\u6cd5\u3002\u5b83\u5c06\u7ebf\u6027\u56de\u5f52\u7684\u8f93\u51fa\u7ed3\u679c\u901a\u8fc7 sigmoid \u51fd\u6570\u8f6c\u6362\u4e3a\u6982\u7387\u503c\uff0c\u4ece\u800c\u5b9e\u73b0\u5bf9\u6837\u672c\u7684\u5206\u7c7b\u3002<\/li>\n\n\n\n
  5. \u652f\u6301\u5411\u91cf\u673a\uff08Support Vector Machine\uff0cSVM\uff09\uff1a
    \u652f\u6301\u5411\u91cf\u673a\u65e2\u53ef\u4ee5\u5e94\u7528\u4e8e\u5206\u7c7b\u95ee\u9898\uff0c\u4e5f\u53ef\u4ee5\u5e94\u7528\u4e8e\u56de\u5f52\u95ee\u9898\u3002\u5728\u56de\u5f52\u4efb\u52a1\u4e2d\uff0c\u652f\u6301\u5411\u91cf\u673a\u53ef\u4ee5\u8fdb\u884c\u975e\u7ebf\u6027\u56de\u5f52\uff0c\u4f8b\u5982\u4f7f\u7528\u6838\u6280\u5de7\u5c06\u8f93\u5165\u6570\u636e\u6620\u5c04\u5230\u9ad8\u7ef4\u7a7a\u95f4\u3002<\/li>\n\n\n\n
  6. \u968f\u673a\u68ee\u6797\uff08Random Forest\uff09\uff1a
    \u968f\u673a\u68ee\u6797\u662f\u4e00\u79cd\u57fa\u4e8e\u51b3\u7b56\u6811\u7684\u96c6\u6210\u56de\u5f52\u7b97\u6cd5\u3002\u5b83\u901a\u8fc7\u968f\u673a\u9009\u62e9\u7279\u5f81\u548c\u6837\u672c\u5b50\u96c6\uff0c\u751f\u6210\u591a\u4e2a\u51b3\u7b56\u6811\uff0c\u5e76\u5c06\u8fd9\u4e9b\u51b3\u7b56\u6811\u7684\u9884\u6d4b\u7ed3\u679c\u8fdb\u884c\u5e73\u5747\u6216\u6295\u7968\uff0c\u5f97\u5230\u6700\u7ec8\u7684\u9884\u6d4b\u7ed3\u679c\u3002<\/li>\n\n\n\n
  7. \u68af\u5ea6\u63d0\u5347\u6811\uff08Gradient Boosting Trees\uff0cGDBT\uff09\uff1a
    \u68af\u5ea6\u63d0\u5347\u6811\u662f\u4e00\u79cd\u57fa\u4e8e\u68af\u5ea6\u4e0b\u964d\u7684\u96c6\u6210\u56de\u5f52\u7b97\u6cd5\uff0c\u901a\u8fc7\u8fed\u4ee3\u5730\u8bad\u7ec3\u7b80\u5355\u7684\u57fa\u5b66\u4e60\u5668\uff08\u5982\u51b3\u7b56\u6811\uff09\uff0c\u5e76\u7ed3\u5408\u8fd9\u4e9b\u57fa\u5b66\u4e60\u5668\u6765\u964d\u4f4e\u9884\u6d4b\u8bef\u5dee\u3002<\/li>\n\n\n\n
  8. \u795e\u7ecf\u7f51\u7edc\uff08Neural Networks\uff09\uff1a
    \u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u5e94\u7528\u4e8e\u56de\u5f52\u4efb\u52a1\uff0c\u5c24\u5176\u662f\u5904\u7406\u590d\u6742\u975e\u7ebf\u6027\u5173\u7cfb\u7684\u95ee\u9898\u3002\u901a\u8fc7\u591a\u5c42\u795e\u7ecf\u5143\u7684\u7ec4\u5408\uff0c\u795e\u7ecf\u7f51\u7edc\u53ef\u4ee5\u5b66\u4e60\u548c\u8868\u793a\u590d\u6742\u7684\u51fd\u6570\u5173\u7cfb\u3002<\/li>\n<\/ol>\n\n\n\n

    \u603b\u4e4b\uff0c\u56de\u5f52\u7b97\u6cd5\u5728\u673a\u5668\u5b66\u4e60\u4e2d\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6839\u636e\u95ee\u9898\u7684\u7279\u70b9\u548c\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u56de\u5f52\u7b97\u6cd5\u6765\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u3002\u901a\u8fc7\u56de\u5f52\u5206\u6790\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u8f93\u5165\u53d8\u91cf\u4e0e\u8f93\u51fa\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4ece\u800c\u4e3a\u51b3\u7b56\u63d0\u4f9b\u6709\u529b\u652f\u6301\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

    \u673a\u5668\u5b66\u4e60\u4e2d\u7684\u56de\u5f52\uff08Regression\uff09\u662f\u4e00\u79cd\u9884\u6d4b\u8fde\u7eed\u578b\u8f93\u51fa\u53d8\u91cf\uff08y\uff09\u4e0e\u8f93\u5165\u53d8\u91cf\uff08x\uff09\u4e4b\u95f4\u5173\u7cfb\u7684\u7b97\u6cd5\u3002\u4e0e\u5206\u7c7b\u95ee […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[32],"tags":[],"class_list":["post-608","post","type-post","status-publish","format-standard","hentry","category-32"],"blocksy_meta":"","_links":{"self":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/608","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/comments?post=608"}],"version-history":[{"count":1,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/608\/revisions"}],"predecessor-version":[{"id":609,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/posts\/608\/revisions\/609"}],"wp:attachment":[{"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/media?parent=608"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/categories?post=608"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/ai.gitpp.com\/index.php\/wp-json\/wp\/v2\/tags?post=608"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}