{"id":10921,"date":"2024-03-26T10:01:42","date_gmt":"2024-03-26T01:01:42","guid":{"rendered":"https:\/\/blogs.mathworks.com\/japan-community\/?p=10921"},"modified":"2024-03-26T10:01:42","modified_gmt":"2024-03-26T01:01:42","slug":"jp-incremental-learning-adaptive-and-real-time-machine-learning","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/japan-community\/2024\/03\/26\/jp-incremental-learning-adaptive-and-real-time-machine-learning\/","title":{"rendered":"\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\uff1a\u9069\u5fdc\u7684\u304b\u3064\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306a\u6a5f\u68b0\u5b66\u7fd2"},"content":{"rendered":"<p>\u203b\u3053\u306e\u6295\u7a3f\u306f 2024 \u5e74 3 \u6708 4 \u65e5\u306b <a href=\"https:\/\/blogs.mathworks.com\/deep-learning\/2024\/03\/04\/incremental-learning-adaptive-and-real-time-machine-learning\/?from=jp\">Artificial Intelligence \u3078 \u6295\u7a3f<\/a>\u3055\u308c\u305f\u3082\u306e\u306e\u6284\u8a33\u3067\u3059\u3002<\/p>\n<hr \/>\n<p>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\uff08Incremental Learning: \u9010\u6b21\u5b66\u7fd2\u3001\u8ffd\u52a0\u5b66\u7fd2\uff09\u306f\u3001\u65b0\u3057\u304f\u5165\u3063\u3066\u304f\u308b\u30c7\u30fc\u30bf\u306b\u9069\u5fdc\u7684\u306b\u30e2\u30c7\u30eb\u3092\u9069\u5408\u3055\u305b\u308b\u3068\u3044\u3046\u8ab2\u984c\u306b\u5bfe\u51e6\u3059\u308b\u6a5f\u68b0\u5b66\u7fd2\u306e\u30a2\u30d7\u30ed\u30fc\u30c1\u3067\u3059\u3002\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306f\u3001\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30c7\u30fc\u30bf\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u30a8\u30f3\u30b8\u30cb\u30a2\u306b\u3068\u3063\u3066\u7279\u306b\u6709\u7528\u3067\u3059\u3002\u3057\u3070\u3057\u3070\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u30c7\u30d0\u30a4\u30b9\u306b\u5b9f\u88c5\u3057\u307e\u3059\u304c\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306f\u30c7\u30fc\u30bf\u304c\u5909\u5316\u3057\u305f\u5834\u5408\u3067\u3082\u30e2\u30c7\u30eb\u304c\u610f\u56f3\u3057\u305f\u901a\u308a\u306b\u6a5f\u80fd\u3057\u7d9a\u3051\u308b\u3053\u3068\u3092\u4fdd\u8a3c\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u30d6\u30ed\u30b0\u3067\u306f\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3068\u306f\u4f55\u304b\u3001\u306a\u305c\u6709\u7528\u306a\u306e\u304b\u3001\u305d\u3057\u3066 MATLAB \u3084 Simulink \u3092\u4f7f\u7528\u3057\u3066\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<p style=\"font-size: 24px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3063\u3066\u306a\u306b\uff1f<\/strong><\/p>\n<p>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306f\u3001\u30c7\u30fc\u30bf\u30b9\u30c8\u30ea\u30fc\u30e0\u304b\u3089\u306e\u975e\u5b9a\u5e38\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\uff08\u304a\u3088\u3073<a href=\"https:\/\/jp.mathworks.com\/discovery\/deep-learning.html\">\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0<\/a>\u30e2\u30c7\u30eb\uff09\u304c\u7d99\u7d9a\u7684\u306b\u5b66\u7fd2\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b<a href=\"https:\/\/jp.mathworks.com\/discovery\/machine-learning.html\">\u6a5f\u68b0\u5b66\u7fd2\u306e\u30a2\u30d7\u30ed\u30fc\u30c1<\/a>\u3067\u3059\u3002\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u3001\u65b0\u3057\u3044\u77e5\u8b58\u3092\u7d71\u5408\u3057\u3064\u3064\u4ee5\u524d\u306e\u77e5\u8b58\u3092\u7dad\u6301\u3059\u308b\u3001\u9023\u7d9a\u7684\u306b\u66f4\u65b0\u3055\u308c\u308b<a href=\"https:\/\/jp.mathworks.com\/discovery\/artificial-intelligence.html\">\u4eba\u5de5\u77e5\u80fd\uff08AI\uff09<\/a>\u30b7\u30b9\u30c6\u30e0\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p><div id=\"attachment_14230\" style=\"width: 778px\" class=\"wp-caption alignnone\"><img aria-describedby=\"caption-attachment-14230\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-14230\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/incremental_learning_workflow-1.png\" alt=\"Diagram of the incremental learning workflow showing how a machine learning model learns with streaming data while maintaining previous knowledge.\" width=\"768\" height=\"344\" \/><p id=\"caption-attachment-14230\" class=\"wp-caption-text\">Figure: \u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u6d41\u308c<\/p><\/div><\/p>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2 vs \u5f93\u6765\u306e\u6a5f\u68b0\u5b66\u7fd2<\/strong><\/p>\n<p>\u5f93\u6765\u306e<a href=\"https:\/\/jp.mathworks.com\/discovery\/machine-learning-models.html\">\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb<\/a>\u306f\u3001\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u3001\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u3078\u306e\u4e00\u822c\u5316\uff08\u3064\u307e\u308a\u3001<a href=\"https:\/\/jp.mathworks.com\/discovery\/overfitting.html\">\u904e\u5b66\u7fd2<\/a>\u3084\u672a\u5b66\u7fd2\u3092\u907f\u3051\u308b\u3053\u3068\uff09\u306f\u3001<a href=\"https:\/\/jp.mathworks.com\/discovery\/cross-validation.html\">\u30af\u30ed\u30b9\u30d0\u30ea\u30c7\u30fc\u30b7\u30e7\u30f3<\/a>\u3001<a href=\"https:\/\/jp.mathworks.com\/discovery\/regularization.html\">\u6b63\u5247\u5316<\/a>\u3001\u30cf\u30a4\u30d1\u30fc\u30d1\u30e9\u30e1\u30fc\u30bf\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3068\u3044\u3063\u305f\u65b9\u6cd5\u306b\u3088\u3063\u3066\u78ba\u4fdd\u3055\u308c\u307e\u3059\u3002<\/p>\n<p>\u4e00\u65b9\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u306b\u9069\u5fdc\u3057\u3001\u305d\u306e\u305f\u3081\u5f93\u6765\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u6bd4\u3079\u3066\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306f\u67d4\u8edf\u3067\u3059\u3002\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u8fc5\u901f\u304b\u3064\u52b9\u7387\u7684\u306b\u30c7\u30fc\u30bf\u306b\u9069\u5408\u3059\u308b\u305f\u3081\u3001\u30c7\u30fc\u30bf\u5206\u5e03\u306e\u5909\u5316\uff08\u307e\u305f\u306f\u30c9\u30ea\u30d5\u30c8\uff09\u306b\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u9069\u5fdc\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u306b\u95a2\u3059\u308b\u60c5\u5831\u304c\u5c11\u306a\u3044\u5834\u5408\u306b\u3082\u3088\u308a\u52b9\u7387\u7684\u3067\u3059\u3002\u4f8b\u3048\u3070\u3001\u30e2\u30c7\u30eb\u304c\u89b3\u6e2c\u3092\u51e6\u7406\u3057\u305f\u5f8c\u3067\u306a\u3044\u3068\u30af\u30e9\u30b9\u540d\u304c\u5206\u304b\u3089\u306a\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u3055\u3089\u306b\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306b\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5229\u70b9\u304c\u3042\u308a\u307e\u3059\uff1a<\/p>\n<ul>\n<li>\u30a8\u30f3\u30c9\u30e6\u30fc\u30b6\u30fc\u306e\u30c7\u30fc\u30bf\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u4fdd\u8b77\u3057\u307e\u3059\u3002<\/li>\n<li>\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u63a5\u7d9a\u304c\u306a\u3044\u72b6\u6cc1\u3067\u3082\u30c7\u30d0\u30a4\u30b9\u304c\u5b66\u7fd2\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u307e\u3059\u3002<\/li>\n<li>\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30bc\u30fc\u30b7\u30e7\u30f3\u3084\u30b9\u30de\u30fc\u30c8\u6a5f\u80fd\u3092\u5099\u3048\u305f\u5148\u9032\u7684\u306a\u30c7\u30d0\u30a4\u30b9\u306e\u8a2d\u8a08\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 18px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u8ab2\u984c<\/strong><\/p>\n<p>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306b\u3082\u8ab2\u984c\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u4e2d\u3067\u3082\u3001\u30c7\u30fc\u30bf\u30b9\u30c8\u30ec\u30fc\u30b8\u3068\u58ca\u6ec5\u7684\u5fd8\u5374\u306b\u3064\u3044\u3066\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<p><strong>\u30c7\u30fc\u30bf\u30b9\u30c8\u30ec\u30fc\u30b8<\/strong> \u2013 \u30c7\u30fc\u30bf\u306f\u30b9\u30c8\u30ea\u30fc\u30e0\u3068\u3057\u3066\u5230\u7740\u3057\u3001\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306f\u672a\u77e5\u3067\u3042\u308a\u3001\u5834\u5408\u306b\u3088\u3063\u3066\u306f\u5927\u304d\u304f\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u305f\u3081\u3001\u30c7\u30fc\u30bf\u306e\u4fdd\u5b58\u304c\u56f0\u96e3\u306b\u306a\u308a\u307e\u3059\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u30c7\u30fc\u30bf\u304c\u5229\u7528\u53ef\u80fd\u306a\u9593\u3001\u304b\u3064\u5ec3\u68c4\u3055\u308c\u308b\u524d\u306b\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p><strong>\u58ca\u6ec5\u7684\u5fd8\u5374<\/strong> \u2013 \u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u3001\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u306e\u5b66\u7fd2\u4e2d\u306b\u4ee5\u524d\u306e\u30c7\u30fc\u30bf\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u305b\u3093\u3002\u30e2\u30c7\u30eb\u306f\u65b0\u3057\u3044\u30c7\u30fc\u30bf\u306b\u904e\u5b66\u7fd2\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u305d\u308c\u306b\u3088\u3063\u3066\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u304c\u4f4e\u4e0b\u3057\u307e\u3059\u3002<\/p>\n<div class=\"absolute bottom-0 left-0 w-full border-transparent bg-gradient-to-b from-transparent via-white to-white pt-6 dark:border-white\/20 dark:via-[var(--dark-gray-background-color)] dark:to-[var(--dark-gray-background-color)] md:pt-2\">\n<div class=\"mx-2 mt-4 flex flex-col items-center gap-3 last:mb-2 md:mx-4 md:mt-[52px] md:last:mb-6 lg:mx-auto lg:max-w-3xl\">\n<div class=\"flex mb-3 md:mb-0 md:mt-2 flex flex-row items-center gap-3 text-black dark:text-white\"><\/div>\n<\/div>\n<\/div>\n<p style=\"font-size: 18px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u7570\u5e38\u691c\u51fa<\/strong><\/p>\n<p>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u7570\u5e38\u691c\u51fa\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u306e\u4e00\u5206\u91ce\u3067\u3042\u308a\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3068\u540c\u69d8\u306b\u3001\u30c7\u30fc\u30bf\u30b9\u30c8\u30ea\u30fc\u30e0\u304b\u3089\u306e\u5165\u529b\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u3053\u3068\u3092\u542b\u307f\u307e\u3059\u3002\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u7570\u5e38\u691c\u51fa\u3067\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u5b66\u7fd2\u3055\u305b\u308b\u306e\u3067\u306f\u306a\u304f\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u7570\u5e38\u30b9\u30b3\u30a2\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002<\/p>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 18px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306b\u3064\u3044\u3066\u3082\u3063\u3068\u77e5\u308b\u306b\u306f<\/strong><\/p>\n<p>\u30c9\u30ad\u30e5\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u304b\u3089\u95a2\u9023\u3059\u308b\u30da\u30fc\u30b8\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/jp.mathworks.com\/help\/stats\/incremental-learning-overview.html\">\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u6982\u8981<\/a><\/li>\n<li><a href=\"https:\/\/jp.mathworks.com\/help\/stats\/incremental-anomaly-detection-overview.html\">Incremental Anomaly Detection Overview<\/a><\/li>\n<li><a href=\"https:\/\/jp.mathworks.com\/help\/stats\/implement-incremental-learning-using-flexible-workflow-classification.html\">\u67d4\u8edf\u306a\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u3092\u4f7f\u7528\u3057\u305f\u5206\u985e\u7528\u306e\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u5b9f\u88c5<\/a><\/li>\n<\/ul>\n<p><div id=\"attachment_14056\" style=\"width: 501px\" class=\"wp-caption alignnone\"><img aria-describedby=\"caption-attachment-14056\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-14056 size-full\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/classification_error_incremental_learning_flexible.png\" alt=\"Showing the cumulative and windowed classification error decreasing for incremental learning.\" width=\"491\" height=\"167\" \/><p id=\"caption-attachment-14056\" class=\"wp-caption-text\">Figure: \u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306b\u3088\u308b\u5206\u985e\u30a8\u30e9\u30fc<\/p><\/div><\/p>\n<p style=\"font-size: 24px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u304c\u6709\u7528\u3067\u3042\u308b\u7406\u7531<\/strong><\/p>\n<p>\u73fe\u5b9f\u306e\u8ab2\u984c\u3092\u89e3\u6c7a\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u30c7\u30b9\u30af\u30c8\u30c3\u30d7\u304b\u3089\u96e2\u308c\u3001\u5b9f\u904b\u7528\u74b0\u5883\u306b\u79fb\u884c\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u304c\u30af\u30e9\u30a6\u30c9\u3084<a href=\"https:\/\/jp.mathworks.com\/solutions\/deep-learning\/edge-ai.html\">\u30a8\u30c3\u30b8\u30c7\u30d0\u30a4\u30b9<\/a>\u306a\u3069\u306e\u30bf\u30fc\u30b2\u30c3\u30c8\u30c7\u30d0\u30a4\u30b9\u3067\u52d5\u4f5c\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u975e\u5b9a\u5e38\u306e\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30c7\u30fc\u30bf\u3092\u53d7\u3051\u53d6\u308b\u53ef\u80fd\u6027\u304c\u9ad8\u304f\u3001\u3053\u3053\u304c\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u304c\u7279\u306b\u6709\u7528\u3067\u3042\u308b\u77ac\u9593\u3067\u3059\u3002<\/p>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u5fdc\u7528<\/strong><\/p>\n<p>\u30ea\u30c1\u30a6\u30e0\u30a4\u30aa\u30f3\u30d0\u30c3\u30c6\u30ea\u30fc\u306f\u3001\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u96fb\u5b50\u6a5f\u5668\u3001\u643a\u5e2f\u96fb\u8a71\u3001\u30e9\u30c3\u30d7\u30c8\u30c3\u30d7\u304b\u3089\u96fb\u6c17\u81ea\u52d5\u8eca\u3084\u30b9\u30de\u30fc\u30c8\u30b0\u30ea\u30c3\u30c9\u306b\u81f3\u308b\u307e\u3067\u3001\u81f3\u308b\u6240\u306b\u3042\u308a\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001<a href=\"https:\/\/blogs.mathworks.com\/deep-learning\/2023\/08\/11\/virtual-sensors-with-ai-and-model-based-design\/?from=jp\">AI \u3092\u4f7f\u7528\u3057\u3066\u30d0\u30c3\u30c6\u30ea\u30fc\u306e\u5145\u96fb\u72b6\u614b\uff08SOC\uff09\u3092\u63a8\u5b9a\u3059\u308b\u4eee\u60f3\u30bb\u30f3\u30b5\u30fc<\/a>\u3092\u8a2d\u8a08\u3057\u3066\u3044\u308b\u3068\u3057\u307e\u3057\u3087\u3046\u3002SOC \u4eee\u60f3\u30bb\u30f3\u30b5\u30fc\u306f\u3001\u30d0\u30c3\u30c6\u30ea\u30fc\u306e\u5b89\u5168\u304b\u3064\u52b9\u7387\u7684\u306a\u904b\u7528\u3092\u4fdd\u8a3c\u3059\u308b\u30d0\u30c3\u30c6\u30ea\u30fc\u30de\u30cd\u30b8\u30e1\u30f3\u30c8\u30b7\u30b9\u30c6\u30e0\uff08BMS\uff09\u306e\u91cd\u8981\u306a\u90e8\u54c1\u3067\u3059\u3002\u4eee\u60f3\u30bb\u30f3\u30b5\u30fc\u306f\u3001\u4ed6\u306e\u30bb\u30f3\u30b5\u30fc\u304b\u3089\u306e\u96fb\u5727\u3001\u96fb\u6d41\u3001\u304a\u3088\u3073\u6e29\u5ea6\u306e\u6e2c\u5b9a\u5024\u3092\u53d7\u3051\u53d6\u308a\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u6e2c\u5b9a\u5024\u306f\u6642\u9593\u3068\u3068\u3082\u306b\u5909\u5316\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u30c7\u30d7\u30ed\u30a4\u3055\u308c\u305f\u30e2\u30c7\u30eb\u306f\u3053\u308c\u3089\u306e\u5909\u5316\u306b\u9069\u5fdc\u3059\u308b\u3079\u304d\u3067\u3059\u3002<\/p>\n<h6><\/h6>\n<p><div id=\"attachment_14059\" style=\"width: 634px\" class=\"wp-caption alignnone\"><img aria-describedby=\"caption-attachment-14059\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-14059\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/virtual_sensor.png\" alt=\"Diagram of a virtual sensor with inputs voltage, current, and temperature measurements, and output the State of Charge of a battery.\" width=\"624\" height=\"210\" \/><p id=\"caption-attachment-14059\" class=\"wp-caption-text\">Figure: AI \u3092\u4f7f\u7528\u3057\u3066\u30d0\u30c3\u30c6\u30ea\u30fc\u306e\u5145\u96fb\u72b6\u614b\uff08SOC\uff09\u63a8\u5b9a\u306e\u305f\u3081\u306e\u4eee\u60f3\u30bb\u30f3\u30b5\u30fc\u3092\u8a2d\u8a08<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<p>\u4eee\u60f3\u30bb\u30f3\u30b5\u30fc\u306e\u8a2d\u8a08\u306f\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u6f5c\u5728\u7684\u306a\u5fdc\u7528\u4f8b\u306e\u3072\u3068\u3064\u306b\u904e\u304e\u307e\u305b\u3093\u3002\u4ed6\u306b\u306f\u4ee5\u4e0b\u304c\u8003\u3048\u3089\u308c\u307e\u3059\uff1a<\/p>\n<table width=\"90%;\">\n<tbody>\n<tr>\n<td style=\"padding: 10px;\" width=\"30%\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-14092 alignleft\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/signal_processing.png\" alt=\"\" width=\"86\" height=\"82\" \/><\/td>\n<td style=\"padding: 10px; text-align: left;\" width=\"30%\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-14095 alignnone\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/predictive_maintenance.png\" alt=\"\" width=\"85\" height=\"81\" \/><\/td>\n<td style=\"padding: 10px; text-align: left;\" width=\"30%\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-14098 alignnone\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/wireless.png\" alt=\"\" width=\"99\" height=\"76\" \/><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px; text-align: left;\" width=\"30%\"><a href=\"https:\/\/jp.mathworks.com\/solutions\/artificial-intelligence\/ai-signal-processing.html\">Signal Processing<\/a><\/td>\n<td style=\"padding: 10px; text-align: left;\" width=\"30%\"><a href=\"https:\/\/jp.mathworks.com\/solutions\/predictive-maintenance.html\">Predictive Maintenance<\/a><\/td>\n<td style=\"padding: 10px; text-align: left;\" width=\"30%\"><a href=\"https:\/\/jp.mathworks.com\/solutions\/wireless-communications\/ai.html\">Wireless Communications<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h6><\/h6>\n<p>\u79c1\u306e\u500b\u4eba\u7684\u306a\u7d4c\u9a13\u304b\u3089\u306e\u4e00\u4f8b\u3068\u3057\u3066\u3001\u30a4\u30f3\u30d7\u30e9\u30f3\u30c8\u578b\u8133-\u6a5f\u68b0\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9\uff08BMIs\uff09\u306e\u8a2d\u8a08\u306b\u304a\u3044\u3066\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3092\u4f7f\u7528\u3057\u305f\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u79c1\u306e\u535a\u58eb\u7814\u7a76\u3067\u306f\u30a4\u30f3\u30d7\u30e9\u30f3\u30c8\u578bBMIs\u306e\u305f\u3081\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u958b\u767a\u3057\u3001\u30c1\u30c3\u30d7\u3092\u8a2d\u8a08\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u3089\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u975e\u5e38\u306b\u30ce\u30a4\u30ba\u306e\u591a\u3044\u8133\u4fe1\u53f7\u3092\u30e2\u30c7\u30eb\u5316\u3057\u3001\u8133\u6d3b\u52d5\u3092\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3057\u3066\u3001\u3069\u306e\u30cb\u30e5\u30fc\u30ed\u30f3\u304c\u3044\u3064\u767a\u706b\u3057\u305f\u304b\u3092\u7279\u5b9a\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3057\u305f\u3002\u3059\u3079\u3066\u306e\u524d\u51e6\u7406\u3068\u6a5f\u68b0\u5b66\u7fd2\u304c\u8d85\u4f4e\u96fb\u529b\u3067\u5c0f\u578b\u306e\u30c1\u30c3\u30d7\u4e0a\u3067\u884c\u308f\u308c\u308b\u5fc5\u8981\u304c\u3042\u308b\u305f\u3081\u3001\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u8a08\u7b97\u52b9\u7387\u304c\u9ad8\u304f\u3001\u5c0f\u3055\u306a\u30d5\u30c3\u30c8\u30d7\u30ea\u30f3\u30c8\u3092\u6301\u3061\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u30c7\u30fc\u30bf\u3092\u51e6\u7406\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3057\u305f\u3002<\/p>\n<p>\u79c1\u306f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u5165\u3063\u3066\u304f\u308b\u30cb\u30e5\u30fc\u30e9\u30eb\u30b7\u30b0\u30ca\u30eb\u3092\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3057\u306a\u304c\u3089\u3001\u4ee5\u524d\u306b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3055\u308c\u305f\u6d3b\u52d5\uff08\u30af\u30e9\u30b9\u30bf\u30fc\u30bb\u30f3\u30bf\u30fc\u3084\u7d71\u8a08\u7684\u4f9d\u5b58\u95a2\u4fc2\u306a\u3069\u306e\u60c5\u5831\uff09\u306e\u60c5\u5831\u3092\u4fdd\u6301\u3059\u308b\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u958b\u767a\u3057\u307e\u3057\u305f\u300210 \u5e74\u524d\u306b MATLAB \u306b\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u305f\u3081\u306e\u7d44\u307f\u8fbc\u307f\u95a2\u6570\u304c\u3042\u308c\u3070\u826f\u304b\u3063\u305f\u306e\u3067\u3059\u304c\u30fb\u30fb\u6b21\u306e\u30bb\u30af\u30b7\u30e7\u30f3\u3067 MATLAB \u3067\u5229\u7528\u53ef\u80fd\u306a\u6700\u8fd1\u306e\u6a5f\u80fd\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/p>\n<h6><\/h6>\n<p style=\"font-size: 18px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3068 MLOps<\/strong><\/p>\n<div class=\"max-h-full overflow-x-hidden\">\n<div>\n<div class=\"group px-4 border-b border-black\/10 bg-gray-50 text-gray-800 dark:border-gray-900\/50 dark:bg-[var(--dark-gray-background-color)] dark:text-gray-100\">\n<div class=\"relative m-auto flex gap-4 p-4 text-base md:max-w-2xl md:gap-6 md:py-6 lg:max-w-2xl lg:px-0 xl:max-w-3xl\">\n<div class=\"prose mt-[-2px] w-full dark:prose-invert\">\n<div class=\"prose dark:prose-invert\">\n<p><a href=\"https:\/\/jp.mathworks.com\/discovery\/mlops.html\">MLOps<\/a> \u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u672c\u756a\u74b0\u5883\u306b\u5c0e\u5165\u3059\u308b\u30d7\u30ed\u30bb\u30b9\u3092\u81ea\u52d5\u5316\u3057\u3001\u672c\u756a\u74b0\u5883\u306b\u3042\u308b\u30e2\u30c7\u30eb\u3092\u7ba1\u7406\u3059\u308b\u4e00\u9023\u306e\u5b9f\u8df5\u3068\u3057\u3066\u5b9a\u7fa9\u3055\u308c\u307e\u3059\u3002MLOps \u306e\u4e00\u74b0\u3068\u3057\u3066\u3001\u672c\u756a\u74b0\u5883\u306b\u3042\u308b\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u5e38\u306b\u76e3\u8996\u3055\u308c\u307e\u3059\u3002\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306f\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u66f4\u65b0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u3001\u3053\u308c\u306b\u3088\u308a\u30a8\u30e9\u30fc\u3092\u6e1b\u5c11\u3055\u305b\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p><div id=\"attachment_14113\" style=\"width: 460px\" class=\"wp-caption alignnone\"><img aria-describedby=\"caption-attachment-14113\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-14113\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/mlops_loop.png\" alt=\"MLOps loop showing steps for machine learning and operations.\" width=\"450\" height=\"212\" \/><p id=\"caption-attachment-14113\" class=\"wp-caption-text\">Figure: MLOps \u306e\u30e9\u30a4\u30d5\u30b5\u30a4\u30af\u30eb<\/p><\/div><\/p>\n<h6><\/h6>\n<table width=\"90%;\">\n<tbody>\n<tr>\n<td style=\"padding: 10px;\" width=\"50%\">\u5b9f\u4e16\u754c\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u306f\u3001\u30c7\u30fc\u30bf\u306f\u3057\u3070\u3057\u3070\u52d5\u7684\u3067\u5e38\u306b\u5909\u5316\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u30c9\u30ea\u30d5\u30c8\u306f\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u3068\u3063\u3066\u5927\u304d\u306a\u554f\u984c\u3068\u306a\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u30c7\u30fc\u30bf\u30c9\u30ea\u30d5\u30c8\u306f\u3001\u6642\u9593\u306e\u7d4c\u904e\u3068\u3068\u3082\u306b\u5165\u529b\u30c7\u30fc\u30bf\u306e\u5206\u5e03\u304c\u5909\u5316\u3059\u308b\u3001\u307e\u305f\u306f\u5165\u529b\u3068\u671b\u307e\u3057\u3044\u51fa\u529b\u3068\u306e\u95a2\u4fc2\u304c\u5909\u5316\u3059\u308b\u306a\u3069\u3001\u591a\u304f\u306e\u7406\u7531\u3067\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u5165\u529b\u304c\u5909\u5316\u3057\u305f\u3068\u304d\u306b\u30e2\u30c7\u30eb\u304c\u66f4\u65b0\u3055\u308c\u307e\u3059\u3002<\/td>\n<td style=\"padding: 10px;\" width=\"50%\"><img decoding=\"async\" class=\"size-medium wp-image-14116 alignleft\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/video_mlops-300x178.png\" alt=\"\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: left;\"><a href=\"https:\/\/www.mathworks.com\/videos\/what-is-mlops-1706066104525.html\">Video: What is MLOps?<\/a><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h6><\/h6>\n<p style=\"font-size: 24px;\"><strong>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u5b9f\u88c5\u65b9\u6cd5<\/strong><\/p>\n<p>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u304c\u4f55\u3067\u3042\u308a\u3001\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30c7\u30fc\u30bf\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u3069\u308c\u307b\u3069\u6709\u7528\u3067\u3042\u308b\u304b\u306b\u89e6\u308c\u307e\u3057\u305f\u3002\u6b21\u306b MATLAB \u3068 Simulink \u3067\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3092\u7c21\u5358\u306b\u5b9f\u88c5\u3059\u308b\u65b9\u6cd5\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002<\/p>\n<p>&nbsp;<\/p>\n<p><strong>MATLAB \u3067\u306e\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2<\/strong><\/p>\n<p><a href=\"https:\/\/jp.mathworks.com\/help\/stats\/incremental-learning-regression.html\">Statistics and Machine Learning Toolbox \u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/a>\u3092\u4f7f\u7528\u3057\u3066\u3001\u5206\u985e\u3068\u56de\u5e30\u306e\u305f\u3081\u306e\u67d4\u8edf\u3067\u52b9\u7387\u7684\u3067\u9069\u5fdc\u6027\u306e\u3042\u308b\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306b\u306f\u3001\u7dda\u5f62\u30b5\u30dd\u30fc\u30c8\u30d9\u30af\u30bf\u30fc\uff08SVM\uff09\u3001\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u3001\u30ca\u30a4\u30fc\u30d6\u30d9\u30a4\u30ba\u5206\u985e\u5668\u3001\u6700\u5c0f\u4e8c\u4e57\u6cd5\u3068\u7dda\u5f62 SVM \u56de\u5e30\u30e2\u30c7\u30eb\u306a\u3069\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u307e\u305f\u3001incrementalLearner \u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u3001\u5f93\u6765\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u6e08\u307f\u30e2\u30c7\u30eb\u3092\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u5909\u63db\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30e2\u30c7\u30eb\u306b\u3064\u3044\u3066\u8a73\u3057\u304f\u306f\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306e\u30c8\u30d4\u30c3\u30af\u300c<a href=\"https:\/\/jp.mathworks.com\/help\/stats\/incremental-learning-overview.html\">\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306e\u6982\u8981<\/a>\u300d\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>Statistics and Machine Learning Toolbox\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e<a href=\"https:\/\/jp.mathworks.com\/help\/stats\/incrementalconceptdriftdetector.html\">\u6982\u5ff5\u30c9\u30ea\u30d5\u30c8\u3092\u691c\u51fa<\/a>\u3067\u304d\u307e\u3059\u3002\u3064\u307e\u308a\u3001\u30c7\u30fc\u30bf\u304c\u5909\u5316\u3057\u3066\u30e2\u30c7\u30eb\u304c\u7121\u52b9\u306b\u306a\u3063\u305f\u3068\u304d\u3092\u691c\u51fa\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u305f\u3081\u306e C\/C++ \u30b3\u30fc\u30c9\u3092\u81ea\u52d5\u7684\u306b\u751f\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u8a73\u3057\u304f\u306f\u3001\u300c<a href=\"https:\/\/jp.mathworks.com\/help\/stats\/code-generation-for-incremental-learning.html\">\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u7528\u306e\u30b3\u30fc\u30c9\u751f\u6210<\/a>\u300d\u306e\u4f8b\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<h6><\/h6>\n<p><div id=\"attachment_14137\" style=\"width: 494px\" class=\"wp-caption alignnone\"><img aria-describedby=\"caption-attachment-14137\" decoding=\"async\" loading=\"lazy\" class=\"wp-image-14137 size-full\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/concept_drift.png\" alt=\"Graph with concept drift detection for incremental learning showing stable, warning, and drift status for different observations.\" width=\"484\" height=\"392\" \/><p id=\"caption-attachment-14137\" class=\"wp-caption-text\">Figure: MATLAB\u3092\u4f7f\u7528\u3057\u305f\u6bb5\u968e\u7684\u5b66\u7fd2\u306e\u305f\u3081\u306e\u6982\u5ff5\u30c9\u30ea\u30d5\u30c8\u691c\u51fa<\/p><\/div><\/p>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 18px;\"><strong>Simulink \u3067\u306e\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2<\/strong><\/p>\n<p>Statistics and Machine Learning Toolbox \u306b\u542b\u307e\u308c\u308b<a href=\"https:\/\/jp.mathworks.com\/help\/stats\/referencelist.html?type=block&amp;category=incremental-learning-regression\"> Simulink \u30d6\u30ed\u30c3\u30af<\/a>\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u3067\u3001\u4eee\u60f3\u30bb\u30f3\u30b5\u30fc\u306e\u8a2d\u8a08\u306a\u3069\u3001\u8907\u96d1\u306a AI \u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u306e\u8a2d\u8a08\u3001\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u3001\u30c6\u30b9\u30c8\u306b\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u3092\u7d71\u5408\u3067\u304d\u307e\u3059\u3002\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u4ee5\u4e0b\u306e\u4f8b\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\uff1a<\/p>\n<table width=\"100%;\">\n<tbody>\n<tr>\n<td style=\"padding: 10px;\" width=\"50%\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-14140 alignleft\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/PerformLearningIncrementalClassificationLinearBlocksExample_01.png\" alt=\"Simulink system that includes the IncrementalClassificationLinear Fit and IncrementalClassificationLinear Predict blocks for incremental learning.\" width=\"374\" height=\"173\" \/><\/td>\n<td style=\"padding: 10px; text-align: left;\" width=\"50%\"><img decoding=\"async\" loading=\"lazy\" class=\"wp-image-14143\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/PerformLearningIncrementalRegressionLinearBlocksExample_01.png\" alt=\"Simulink system that includes the IncrementalRegressionLinear Fit and IncrementalRegressionLinear Predict blocks for incremental learning.\" width=\"374\" height=\"178\" \/><\/td>\n<\/tr>\n<tr>\n<td style=\"padding: 10px;\" width=\"50%\"><a href=\"https:\/\/www.mathworks.com\/help\/stats\/perform-incremental-learning-using-incrementalclassificationlinear-fit-and-predict-blocks.html\">Incremental Learning in Simulink for Classification<\/a><\/td>\n<td style=\"padding: 10px;\" width=\"50%\"><a href=\"https:\/\/www.mathworks.com\/help\/stats\/perform-incremental-learning-using-incrementalregressionlinear-fit-and-predict-blocks.html\">Incremental Learning in Simulink for Regression<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h6><\/h6>\n<p style=\"font-size: 24px;\"><strong>\u307e\u3068\u3081<\/strong><\/p>\n<ul>\n<li>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306f\u3001\u5165\u3063\u3066\u304f\u308b\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30c7\u30fc\u30bf\u306b\u9069\u5fdc\u7684\u306b\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u30d5\u30a3\u30c3\u30c8\u3055\u305b\u308b\u3068\u3044\u3046\u8ab2\u984c\u306b\u5bfe\u51e6\u3057\u307e\u3059\u3002<\/li>\n<li>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u304c\u672c\u756a\u74b0\u5883\u3067\u7a3c\u50cd\u3057\u3066\u3044\u308b\u969b\u306e\u30a8\u30e9\u30fc\u3092\u6e1b\u5c11\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<li>MATLAB \u3068 Simulink \u306f\u3001\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u3001\u305d\u308c\u3089\u3092\u30b7\u30b9\u30c6\u30e0\u30ec\u30d9\u30eb\u306e\u8a2d\u8a08\u306b\u7d71\u5408\u3057\u3001\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u306b\u30c7\u30d7\u30ed\u30a4\u3059\u308b\u305f\u3081\u306e\u30c4\u30fc\u30eb\u3001\u95a2\u6570\u3001\u304a\u3088\u3073\u30d6\u30ed\u30c3\u30af\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<div class=\"overview-image\"><img decoding=\"async\"  class=\"img-responsive\" src=\"https:\/\/blogs.mathworks.com\/deep-learning\/files\/2024\/03\/incremental_learning_workflow-1.png\" onError=\"this.style.display ='none';\" \/><\/div>\n<p>\u203b\u3053\u306e\u6295\u7a3f\u306f 2024 \u5e74 3 \u6708 4 \u65e5\u306b Artificial Intelligence \u3078 \u6295\u7a3f\u3055\u308c\u305f\u3082\u306e\u306e\u6284\u8a33\u3067\u3059\u3002<\/p>\n<p>\u30a4\u30f3\u30af\u30ea\u30e1\u30f3\u30bf\u30eb\u5b66\u7fd2\uff08Incremental Learning:&#8230; <a class=\"read-more\" href=\"https:\/\/blogs.mathworks.com\/japan-community\/2024\/03\/26\/jp-incremental-learning-adaptive-and-real-time-machine-learning\/\">read more >><\/a><\/p>\n","protected":false},"author":159,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[135,61],"tags":[],"_links":{"self":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/10921"}],"collection":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/users\/159"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/comments?post=10921"}],"version-history":[{"count":12,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/10921\/revisions"}],"predecessor-version":[{"id":10957,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/posts\/10921\/revisions\/10957"}],"wp:attachment":[{"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/media?parent=10921"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/categories?post=10921"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.mathworks.com\/japan-community\/wp-json\/wp\/v2\/tags?post=10921"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}