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- Article name
- IMPLEMENTATION OF POLYGAUSSIAN CLASSIFICATION ALGORITHMS BY USING ARCHITECTURE AND OPERATORS OF ARTIFICIAL NEURAL NETWORKS
- Authors
- Andreev O. A., , wert_of_mor@mail.ru, JSC "NII "Atoll", Dubna, Moscow Region, Russia
- Keywords
- polygaussian probabilistic models / artificial neural networks / MATLAB
- Year
- 2017 Issue 3 Pages 60 - 64
- Code EDN
- Code DOI
- Abstract
- Polygaussian classifiers show good results in solving the problem of classification. To obtain similar results using artificial neural networks an optimal network architecture and its training parameters must be picked. The paper discusses the method of implementation of polygaussian classification algorithms by using architecture and operators of artificial neural networks to synthesize effective neural classifier, which has strictly determined architecture.
- Text
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