METHODS OF Z-CLASSIFIERS LEARNING

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...

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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
Description
Summary: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.
ISSN:1729-7648

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