{"id":1616,"date":"2021-01-16T18:15:46","date_gmt":"2021-01-16T16:15:46","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=1616"},"modified":"2021-05-14T12:11:57","modified_gmt":"2021-05-14T09:11:57","slug":"%d0%b0%d0%bd%d1%81%d0%b0%d0%bc%d0%b1%d0%bb%d1%96-%d0%bd%d0%b5%d0%b9%d1%80%d0%be%d0%bf%d0%be%d0%b4%d1%96%d0%b1%d0%bd%d0%b8%d1%85-%d1%81%d1%82%d1%80%d1%83%d0%ba%d1%82%d1%83%d1%80-%d0%bc%d0%bf%d0%b3","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=1616","title":{"rendered":"\u0410\u043d\u0441\u0430\u043c\u0431\u043b\u0456 \u043d\u0435\u0439\u0440\u043e\u043f\u043e\u0434\u0456\u0431\u043d\u0438\u0445 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440 \u043c\u043f\u0433\u043f \u0437 rbf \u0440\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u043d\u044f\u043c \u0432\u0445\u043e\u0434\u0456\u0432 \u0434\u043b\u044f \u0437\u0430\u0434\u0430\u0447 \u0440\u0435\u0433\u0440\u0435\u0441\u0456\u0457 \u0442\u0430 \u043a\u043b\u0430\u0441\u0438\u0444\u0456\u043a\u0430\u0446\u0456\u0457"},"content":{"rendered":"

\u0410\u041d\u0421\u0410\u041c\u0411\u041b\u0406 \u041d\u0415\u0419\u0420\u041e\u041f\u041e\u0414\u0406\u0411\u041d\u0418\u0425 \u0421\u0422\u0420\u0423\u041a\u0422\u0423\u0420 \u041c\u041f\u0413\u041f \u0417 RBF \u0420\u041e\u0417\u0428\u0418\u0420\u0415\u041d\u041d\u042f\u041c \u0412\u0425\u041e\u0414\u0406\u0412 \u0414\u041b\u042f \u0417\u0410\u0414\u0410\u0427 \u0420\u0415\u0413\u0420\u0415\u0421\u0406\u0407 \u0422\u0410 \u041a\u041b\u0410\u0421\u0418\u0424\u0406\u041a\u0410\u0426\u0406\u0407<\/p>\n

THE ENSEMBLES OF SGTM NEURAL-LIKE STRUCTURES WITH RBF LAYER FOR REGRESSION AND CLASSIFICATION TASKS<\/p>\n

<\/a> \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 72-79. \u041d\u043e\u043c\u0435\u0440: \u21164, 2019 (275)<\/strong>
\n\u0410\u0432\u0442\u043e\u0440\u0438: <\/strong>
\n\u041f.\u0411. \u0412\u0406\u0422\u0418\u041d\u0421\u042c\u041a\u0418\u0419, \u0420.\u041e. \u0422\u041a\u0410\u0427\u0415\u041d\u041a\u041e, \u0406.\u0412. \u0406\u0417\u041e\u041d\u0406\u041d, \u041d.\u041e. \u041a\u0423\u0421\u0422\u0420\u0410
\n\u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u00ab\u041b\u044c\u0432\u0456\u0432\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u00bb
\nP.B. VITYNSKIY, R.O. TKACHENKO, I.V. IZONIN, N.O. KUSTRA
\nLviv Polytechnic National University
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2019-275-4-72-79<\/a>
\n\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review :<\/strong> 24.05.2019 \u0440.
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed :<\/strong> 17.07.2019 \u0440.<\/p>\n

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\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u0430\u043d\u0441\u0430\u043c\u0431\u043b\u044c, \u043d\u0435\u0456\u0442\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u0456 \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u0438 \u043d\u0430\u0432\u0447\u0430\u043d\u043d\u044f, \u043d\u0435\u0439\u0440\u043e\u043f\u043e\u0434\u0456\u0431\u043d\u0456 \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0438, \u043c\u0430\u0448\u0438\u043d\u043d\u0435 \u043d\u0430\u0432\u0447\u0430\u043d\u043d\u044f, \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443\u0432\u0430\u043d\u043d\u044f, \u043a\u043b\u0430\u0441\u0438\u0444\u0456\u043a\u0430\u0446\u0456\u044f.<\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

The developed ensembles of non-iterative artificial neural networks are described. The basic steps of constructing hybrid neural-like structures which are the basic of ensembles and their topology are given. Their usage is grounded. The method of constructing an ensemble based on dichotomy is described. The algorithmic implementation of method and block-scheme for both neural-like structures underlying ensembles are presented. Modelling of both ensembles performed on real-life forecasting problem. Attributes of the dataset are described and visualized. The results of experimental research including accuracy and speed for both developed ensembles are presented. The ensemble based on a combined neural-like structure of SGTM with RBF layer provides higher accuracy with the longer procedure of training. Comparison between developed ensembles and existing methods is made. The ensemble based on the combined neural-like structure with RBF shows the highest accuracy. The developed ensembles can be used for regression and classification tasks in different in various areas.
\nKeywords:<\/strong> ensemble, non-iterative training algorithms, neural-like structures, machine learning, forecasting, classification.<\/p>\n

References<\/strong><\/p>\n

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    \u0410\u041d\u0421\u0410\u041c\u0411\u041b\u0406 \u041d\u0415\u0419\u0420\u041e\u041f\u041e\u0414\u0406\u0411\u041d\u0418\u0425 \u0421\u0422\u0420\u0423\u041a\u0422\u0423\u0420 \u041c\u041f\u0413\u041f \u0417 RBF \u0420\u041e\u0417\u0428\u0418\u0420\u0415\u041d\u041d\u042f\u041c \u0412\u0425\u041e\u0414\u0406\u0412 \u0414\u041b\u042f \u0417\u0410\u0414\u0410\u0427 \u0420\u0415\u0413\u0420\u0415\u0421\u0406\u0407 \u0422\u0410 \u041a\u041b\u0410\u0421\u0418\u0424\u0406\u041a\u0410\u0426\u0406\u0407 THE ENSEMBLES OF SGTM NEURAL-LIKE STRUCTURES WITH RBF LAYER FOR REGRESSION AND CLASSIFICATION TASKS \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 72-79. \u041d\u043e\u043c\u0435\u0440: \u21164, 2019 (275) \u0410\u0432\u0442\u043e\u0440\u0438: \u041f.\u0411. \u0412\u0406\u0422\u0418\u041d\u0421\u042c\u041a\u0418\u0419, \u0420.\u041e. \u0422\u041a\u0410\u0427\u0415\u041d\u041a\u041e, \u0406.\u0412. \u0406\u0417\u041e\u041d\u0406\u041d, \u041d.\u041e. \u041a\u0423\u0421\u0422\u0420\u0410 \u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u00ab\u041b\u044c\u0432\u0456\u0432\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u00bb P.B. VITYNSKIY, R.O. TKACHENKO, I.V. IZONIN, N.O. KUSTRA Lviv […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[17],"tags":[],"_links":{"self":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1616"}],"collection":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1616"}],"version-history":[{"count":3,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1616\/revisions"}],"predecessor-version":[{"id":6316,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/1616\/revisions\/6316"}],"wp:attachment":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1616"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1616"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}