{"id":3545,"date":"2022-11-01T00:17:28","date_gmt":"2022-10-31T16:17:28","guid":{"rendered":"http:\/\/www.fredkuo.idv.tw\/wordpress\/?p=3545"},"modified":"2022-11-01T00:17:28","modified_gmt":"2022-10-31T16:17:28","slug":"print-by-number-data-approaching-via-machine-learning","status":"publish","type":"post","link":"https:\/\/fredkuo.idv.tw\/wordpress\/?p=3545","title":{"rendered":"Print by Number :: data approaching via machine learning"},"content":{"rendered":"<p><b><\/b><\/p>\n<p> <b>   <\/p>\n<p>data approaching via machine learning<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh6.googleusercontent.com\/_h-gcif23kNNGOMV_1DfHIqMfZAplMKHRKz_eSe-mGe4CsQoXWg4ekNUwBXKKh7Ga2NdK-CZqukx9OpJS3Gy2btLsw3UhvU9vfgeUrNgSWLgvvzhpEHkoKwrqVCjm97l8RAfI8MAByk5KbIQLWrYOnKEldUZ3Qgyiv9PeKqhnQov7qzP7oXmL1Jbfg\" width=\"495\" height=\"605\" \/><\/p>\n<p>i1\u4ee5\u5916\u7684\u8272\u5f69\u91cf\u6e2c\u5100\u5668\u9678\u7e8c\u5728\u5e02\u5834\u4e0a\u51fa\u73fe\uff0c\u6578\u64da\u4e00\u81f4\u6027\u9019\u500b\u554f\u984c\u907f\u514d\u4e0d\u4e86\uff01<\/p>\n<p>\u9019\u500b\u554f\u984c\u884d\u751f\u51fa\u5e7e\u500b\u5de5\u4f5c\u9762\u5411\u9700\u8981\u53bb\u8655\u7406\u3002<\/p>\n<p>\u4e00\u3001\u4ec0\u9ebc\u6a23\u7684\u5dee\u7570\u662f\u582a\u7528\u7684\uff1f1\u500bde00\uff1f\u5169\u500bde00\uff1f<\/p>\n<p>\u6211\u7684\u770b\u6cd5\uff1a\u5c0d\u8981\u62ff\u8a8d\u8b49\u7684\u5ee0\uff0c\u6703\u8981\u6c42\u52301\u500bde00\u3002\u8cc7\u6599\u4e0a\uff0cTechkon SpectroDens \u8207 Xrite eXact \u4e5f\u662f\u67091\u500bde00\u7684\u5dee\u8ddd\u3002<\/p>\n<p>\u9084\u6709\u66f4\u591a\u66f4\u591a\u7684\u5ee0\u3001\u9084\u6c92\u6709\u5efa\u7acb\u8d77\u6578\u64da\u89c0\u5ff5\u7684\u5ee0\uff0c\u4e00\u4e9b\u8f03\u4f4e\u9580\u6abb\u7684\u3001\u5169\u500bde00\u7684\u6572\u9580\u78da\uff0c\u6211\u9084\u662f\u8a8d\u53ef\u7684\u3002\u9019\u4e9b\u4f4e\u9580\u6abb\u7684\u8a2d\u5099\uff0c\u9084\u662f\u53ef\u4ee5\u5e6b\u8457\u5e36\u5230\u76f8\u7576\u7684\u4f4d\u7f6e\u3002<\/p>\n<p>\u4ee5\u4e0a\u5716\u4e2d Epson sd-10 \u3001 CR30 \u8ddf i1 \u7684\u5dee\u8ddd\u5927\u7d04\u90fd\u662f\u5169\u500bde00\uff1b\u5012\u662f sd10 \u8207&#160; cr30 \u7684\u5dee\u8ddd\u9084\u5c0f\u4e00\u4e9b\uff0c\u6211\u7684\u6578\u64da\u843d\u57281.38 de00\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh4.googleusercontent.com\/3N8k1tx0DF4fiBcBIgWuOdTqD8OcrvPgZrs_FKyY-Aoote2BAoEtl_gUj_2f3F6r9tSnSqCjnbAgVUD_OOxhP9-MAH2eMY0Bxru6n8Ktix3xg6OEqySvBvlzwQA-rMET_BH8IPuL2AAg8Zu6AXjbN7M2D3NDVYehoa3PmMz15haKMdF1bLktMHlQ_g\" width=\"224\" height=\"54\" \/><\/p>\n<p>\u4e8c\u3001\u7d93\u7531\u9019\u4e9b\u5100\u5668\u5c07\u8272\u5f69\u89e3\u8b6f\u70ba\u6578\u5b57\uff0c\u4e00\u65e6\u662f\u6578\u5b57\uff0c\u6211\u5011\u5c31\u53ef\u4ee5\u900f\u904e\u4e00\u4e9b\u6578\u5b78(\u7d71\u8a08\u5b78)\u7a0b\u5e8f\u4f86\u512a\u5316\u9019\u4e9b\u6578\u5b57\uff0c\u8b93\u5100\u5668\u4e4b\u9593\u5448\u73fe\u7684\u6578\u503c\u53ef\u4ee5\u66f4\u63a5\u8fd1\u3002\u4e0d\u7ba1\u4f4e\u968e\u9ad8\u968e\uff0c\u5c0d\u6211\u4f86\u8aac\uff0c\u662f\u6709\u5fc5\u8981\u53bb\u627e\u4e00\u500b\u5de5\u4f5c\u7a0b\u5e8f\uff0c\u8b93\u5169\u500b\u5100\u5668\u7684\u6578\u5b57\u63a5\u8fd1\u3002<\/p>\n<p>\u4e0a\u6b21\u505a\u904e\u4e00\u6b21\u4ee5\u7d19\u767d\u7684\u5149\u8b5c\u5dee\u5225\u4f5c\u70ba\u4fee\u6b63\u57fa\u790e\uff0c\u6709\u53d6\u5f97\u4e00\u4e9b\u6539\u5584\u6210\u679c\uff0c\u4f46\u591a\u6e2c\u8a66\u4e9b\u6a23\u672c\u7684\u6642\u5019\uff0c\u767c\u73fe\u6709\u7684\u984f\u8272\u7684\u8272\u5dee\u53cd\u800c\u8b8a\u5927\uff0c\u9019\u6a23\u7684\u7d50\u679c\u9084\u662f\u4e0d\u5920\u5b89\u5168\u3002\u5c31\u50cf\u67d0\u500b\u85e5\u54c1\u5ee3\u544a\u8aaa\u7684\uff1a\u5148\u6c42\u4e0d\u50b7\u8eab\u9ad4\uff0c\u518d\u4f86\u8b1b\u6c42\u7642\u6548\u3002\u540c\u6a23\u7684\uff0c\u6211\u5fc5\u9808\u5148\u627e\u4e00\u500b\u6bd4\u8f03\u4fdd\u5b88\u7684\u65b9\u6cd5\uff0c\u81f3\u5c11\u8272\u5dee\u4e0d\u80fd\u8b8a\u5927\uff0c\u518d\u4f86\u8b1b\u7a76\u6578\u64da\u5dee\u7684\u7e2e\u5c0f\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh6.googleusercontent.com\/mMuqQzAmMoC3StAzikFo0wUzUlyEmFGYn7rkpQytDoTNde_P_mzoSaygkjHCjgrQyo4dxcDHml6k-zuM06ntx2JaonmxsWeCxvJKn_McVzg_wbjLbsuahj_-CJF8ttxlKSlJcTfDolW8jZLewSrpErPAgJfLHb8eKV4nMnl5JHca39OFyoKoGEZfdA\" width=\"543\" height=\"345\" \/><\/p>\n<p>\u9019\u6b21\u7d93\u7531\u4ee5\u524d\u7684\u5de5\u4f5c\u5925\u4f34\u8521\u540c\u5b78\u8655\u53d6\u5f97python Machine Learning \u7684\u6a23\u7248\u7a0b\u5f0f\uff0c\u60f3\u8457\u9019\u500b\u5c0d\u6211 data approaching \u9019\u500b\u984c\u76ee\u61c9\u8a72\u6709\u5e5a\u52a9\u3002<\/p>\n<p>\u518d\u53bb\u591a\u77ad\u89e3\u4e00\u4e9b\uff0c\u770b\u4f86\u5c31\u662f\u5f88\u591a\u7d71\u8a08\u5b78\u7684\u51fd\u5f0f\u5eab\uff0c\u4e3b\u8981\u662f\u5728\u8abf\u7528\u4e0a\u986f\u5f97\u65b9\u4fbf\u96f6\u6d3b\u8a31\u591a\u3002\u5167\u5bb9\u5f88\u591a\uff0c\u9700\u8981\u4e00\u4e9b\u6642\u9593\u53bb\u6d88\u5316\u7406\u89e3\u3002\u9019\u6b21\u5148\u8a66\u8a66 Multiple Regression \u770b\u770b\u80fd\u6709\u4ec0\u9ebc\u6210\u679c\u3002<\/p>\n<p>\u9996\u5148\uff0c\u8981\u600e\u9ebc\u9935\u8cc7\u6599\u5c31\u662f\u4e00\u9580\u5b78\u554f\uff1a\u8981\u591a\u5c11\u6a23\u672c\u6578\uff1f\u8272\u5f69\u6a23\u672c\u7684\u5206\u4f48\u60c5\u6cc1\uff1f\u6a23\u672c\u7684\u53c3\u8003\u9ede\u8981\u8a2d\u591a\u5c11\u500b\uff1f\u600e\u9ebc\u8a2d\uff1f<\/p>\n<p>\u4e00\u65b9\u9762\u8981\u589e\u52a0\u7cbe\u5ea6\u3001\u4e00\u65b9\u9762\u53c8\u8981\u8b93\u64cd\u4f5c\u5118\u91cf\u7cbe\u7c21\uff1b\u5404\u7a2e\u65b9\u9762\u7684\u8003\u616e\u9700\u8981\u4e0d\u65b7\u7684Trail and error\u53bb\u627e\u5230\u6700\u4f73\u7684\u7d44\u5408\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh6.googleusercontent.com\/2W9AdBA8Yl6AJuxgCn0jlVJ8LPPuh-0pd9NCxaEEe3-_TgxV3aNqum3nrlf0tLaNFBHSd0dgU-1ESIO0OV6r-ETwUSVl3vRmFcOMz52YLBS-bUfRfJIchvNkEyiYNYNxM6rDInpPTWZOpzNCZpsJrzfgmvdU_kakDhu4prH9tnIH8hiYMpl8IFhUMw\" width=\"602\" height=\"279\" \/><\/p>\n<p>Fig. \u9019\u6b21\u7528\u4e8616\u500b\u6a23\u672c\u4f86\u5b78\u7fd2\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh5.googleusercontent.com\/yhHWZRIdKoejOlLP_3spGiVhx2b5emd1jDXH8Z9cvTqu-5aPK5if1CGcsHZ9VoB4fO5yv6wbc4TipY7zOG0QBSUY1D3De9ANf9WJxLVDbH-kaO2jrg3OUiascIBKEE3r0WE_jCVkT6pljEBE26rk2KfAcGsGm1u-Z5GH9WUXtSMvcBNcO8tLUuBeYQ\" width=\"522\" height=\"208\" \/><\/p>\n<p>Fig. \u53c3\u8003\u9ede\u53d64\u500b\u5730\u65b9\uff0c\u5206\u5225\u662f 460nm, 520nm,&#160; 630nm \u53ca\u5149\u8b5c\u53cd\u61c9\u7e3d\u548c(weight)\u3002<\/p>\n<p>\u4f9d\u7a0b\u5e8f\u56de\u6e2c\u4e86\u4e09\u500b\u6a23\u672c\uff0c\u5927\u6982\u5c31\u5f9e2\u500bde00\u62c9\u52301\u500bde00\u5de6\u53f3\uff0c\u7b97\u662f\u6709\u52b9\u7684\u904b\u4f5c\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh4.googleusercontent.com\/WLSB4kmjvt56e-4JogjRpgCGyq9_IDD8QTFPseTDsBuL9JdKSWxugUjpch-9eOv-doIUypfwrH0KFhJyS0lTAdXEQZR0dIyXhfKpnCQteh3If8wLvV98ZqamJQnUZhZk-_3L2bnGbr8vMbZ4XUcQ8Yo34FftPfEHUweesqBYvBojd-vaMwle1KWVKQ\" width=\"241\" height=\"143\" \/><\/p>\n<p>Fig. \u6a23\u672c\u4e00\uff0cde00\u7531 2.42\u964d\u52301.42\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh3.googleusercontent.com\/hhpkpb3ax7zoqwFgXnQVETAZk34OeLcCnJ1livuXC9UZQvnNGzUmFdquFzqCGiVAS4AbiXZOsorWYWDJsInXkuK4W-FPdfong2ELEsAfKl3NSFjdFcwk3rFWL_UrOv2YMottVVKXRRdbCLwTHpOOdGDsKhvlFr2aGjoGxGZqAbBDml2IlnS-EyHLSg\" width=\"237\" height=\"164\" \/><\/p>\n<p>Fig. \u6a23\u672c\u4e8c\uff0cde00\u7531 1.85\u964d\u52301.18\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/lh3.googleusercontent.com\/KTwgTYhdJE3R-qiu0gfJAvSoN066iXGAUp3IpPAwYncSb_I6IqqurZ8sHaXpRpZS5OvXsc9pStXvVUQbRZP7kLGqTfMfd88rLdafVDLRDX1VkfY755ZZoxTyqnkmlhq44uN_Uz2mz-DlL2O7ZQhbz79g4GopwdKRQRBtdFhY9BB6nTOTH7U-qi_g3A\" width=\"239\" height=\"150\" \/><\/p>\n<p>Fig. \u6a23\u672c\u4e09\uff0cde00\u7531 2.16\u964d\u52301.27\u3002<\/p>\n<p>\u9019\u6b21\u53ea\u662fMachine learning \u5728 Data Approaching&#160; \u7684\u4e00\u500b\u958b\u7aef\uff0c\u5404\u7a2emachine learning \u7684\u904b\u7528\u9084\u9700\u8981\u53bb\u66f4\u6df1\u5165\u77ad\u89e3\uff0c\u6a23\u672c\u7684\u53d6\u7528\u908f\u8f2f\u53ca\u8cc7\u6599\u7684\u9935\u6cd5\u90fd\u9084\u5728\u5617\u8a66\u53ca\u5b78\u7fd2\u3002<\/p>\n<p>\u5100\u5668\u9593\u7684\u6578\u64da\u8feb\u8fd1\u5728\u6211\u9019\u908a\u6703\u662f\u4e00\u500b\u9577\u671f\u7684\u984c\u76ee\uff0c\u96a8\u8457\u6a23\u672c\u6536\u96c6\u65b9\u5f0f\u7684\u6539\u9032\u8207\u5c0dmachine learning \u80fd\u529b\u7684\u7406\u89e3\u8207\u904b\u7528\uff0c\u671f\u5f85\u7684\u662f\u7cbe\u5ea6\u518d\u63d0\u6607\u3001\u64cd\u4f5c\u65b9\u5f0f\u66f4\u7cbe\u7c21\u3002<\/p>\n<p>\u8a08\u756b\u76ee\u6a19\u662f\u96a8\u6642\u90fd\u80fd\u8feb\u8fd1\u5230\u4e00\u500bde00\uff0c\u6703\u662f\u4ee5\u96f2\u7aef\u5e73\u81fa\u7684\u65b9\u5f0f\u63d0\u4f9b\u670d\u52d9\uff1b\u5229\u7528\u5e73\u81fa\u7684\u5927\u91cf\u6536\u64da\u4f86\u7e7c\u7e8c\u7cbe\u9032machine learning \u7684\u7d50\u679c\u3002\u9019\u7576\u4e2d\u5927\u91cf\u5100\u5668\u7684\u6578\u64da\u8207\u6a5f\u5668\u5b78\u7fd2\u4e4b\u9593\u7684\u4e32\u63a5\uff0c\u9084\u9700\u8981\u5927\u91cfIT\u80fd\u529b\u7684\u652f\u63f4\u3002<\/p>\n<p>\u5148\u756b\u500b\u9905\uff0c\u80fd\u5be6\u73fe\u5230\u4ec0\u9ebc\u7a0b\u5ea6\u6211\u4e5f\u4e0d\u77e5\u9053\uff0c\u7e3d\u4e4b\uff0c\u662f\u8a72\u958b\u59cb\u52d5\u8d77\u4f86\u4e86\u3002<\/p>\n<p><\/b><\/p>\n","protected":false},"excerpt":{"rendered":"<p>data approaching via machine learning i1\u4ee5\u5916\u7684\u8272\u5f69\u91cf\u6e2c\u5100\u5668\u9678\u7e8c\u5728\u5e02\u5834\u4e0a [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[175,174,173],"class_list":["post-3545","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-cr30","tag-epson-sd-10","tag-machine-learning"],"_links":{"self":[{"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3545"}],"collection":[{"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3545"}],"version-history":[{"count":1,"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3545\/revisions"}],"predecessor-version":[{"id":3546,"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/3545\/revisions\/3546"}],"wp:attachment":[{"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3545"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3545"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fredkuo.idv.tw\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3545"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}