METHODS OF Z-CLASSIFIERS LEARNING

The use of genetic and gradient algorithms for learning classifiers based on Z-model was considered. Combined method of consistent applying this algorithms was offered. The resulting method allows to calculate all model parameters including integer ones and provides acceptable model training quality...

Full description

Bibliographic Details
Main Authors:	D. A. Lavnikevich, M. M. Tatur
Format:	Article
Language:	Russian
Published:	Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:	Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:	классификаторы обучение классификаторов генетические алгоритмы градиентные алгоритмы
Online Access:	https://doklady.bsuir.by/jour/article/view/230

id	doaj-2af30b8970ae4778bae2e7283b5912de
record_format	Article
spelling	doaj-2af30b8970ae4778bae2e7283b5912de2021-07-28T16:19:46ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-010698101229METHODS OF Z-CLASSIFIERS LEARNINGD. A. Lavnikevich0M. M. Tatur1Белорусский государственный университет информатики и радиоэлектроникиБелорусский государственный университет информатики и радиоэлектроникиThe use of genetic and gradient algorithms for learning classifiers based on Z-model was considered. Combined method of consistent applying this algorithms was offered. The resulting method allows to calculate all model parameters including integer ones and provides acceptable model training quality.https://doklady.bsuir.by/jour/article/view/230классификаторыобучение классификаторовгенетические алгоритмыградиентные алгоритмы
collection	DOAJ
language	Russian
format	Article
sources	DOAJ
author	D. A. Lavnikevich M. M. Tatur
spellingShingle	D. A. Lavnikevich M. M. Tatur METHODS OF Z-CLASSIFIERS LEARNING Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki классификаторы обучение классификаторов генетические алгоритмы градиентные алгоритмы
author_facet	D. A. Lavnikevich M. M. Tatur
author_sort	D. A. Lavnikevich
title	METHODS OF Z-CLASSIFIERS LEARNING
title_short	METHODS OF Z-CLASSIFIERS LEARNING
title_full	METHODS OF Z-CLASSIFIERS LEARNING
title_fullStr	METHODS OF Z-CLASSIFIERS LEARNING
title_full_unstemmed	METHODS OF Z-CLASSIFIERS LEARNING
title_sort	methods of z-classifiers learning
publisher	Educational institution «Belarusian State University of Informatics and Radioelectronics»
series	Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
issn	1729-7648
publishDate	2019-06-01
description	The use of genetic and gradient algorithms for learning classifiers based on Z-model was considered. Combined method of consistent applying this algorithms was offered. The resulting method allows to calculate all model parameters including integer ones and provides acceptable model training quality.
topic	классификаторы обучение классификаторов генетические алгоритмы градиентные алгоритмы
url	https://doklady.bsuir.by/jour/article/view/230
work_keys_str_mv	AT dalavnikevich methodsofzclassifierslearning AT mmtatur methodsofzclassifierslearning
_version_	1721267925109702656

METHODS OF Z-CLASSIFIERS LEARNING

Similar Items