{"url":"https://hiratara.hateblo.jp/entry/20090221/p1","title":"Sat, 21 Feb 2009","type":"rich","categories":["weblog"],"author_name":"hirataraSideB","description":"\u4eca\u65e5\u306e\u3053\u3068 Java EE\u52c9\u5f37\u4f1a \u4eca\u65e5\u306e\u672c \u308f\u304b\u308a\u3084\u3059\u3044\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58 \u7b2c2\u7ae0 perceptron learning rule: \u8aa4\u8b58\u5225\u306e\u5834\u5408\u306b\u3001x\u306b\u6cbf\u3063\u3066w\u3092\u52d5\u304b\u3057\u3066\u8aa4\u5dee\u3092\u4fee\u6b63\u3059\u308b*1 perceptron convergence theorem: perceptron learning rule\u306b\u3088\u308a\u3001augmented weight vector\u306f\u6709\u9650\u56de\u3067\u89e3\u9818\u57df\u306b\u9054\u3059\u308b \u03a6 function: \u7dda\u5f62\u7d50\u5408\u3067\u8868\u3055\u308c\u308b\u95a2\u6570\u3002\u03a6 function\u3067\u306fperceptron convergence theorem \u304c\u6210\u7acb\u3059\u308b fixed increment rule: perceptron lear\u2026","blog_title":"/var/log/hiratara.log","author_url":"https://blog.hatena.ne.jp/hirataraSideB/","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fhiratara.hateblo.jp%2Fentry%2F20090221%2Fp1\" title=\"Sat, 21 Feb 2009 - /var/log/hiratara.log\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","width":"100%","provider_name":"Hatena Blog","image_url":null,"published":"2009-02-21 00:00:00","provider_url":"https://hatena.blog","blog_url":"https://hiratara.hateblo.jp/","version":"1.0"}