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Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2018, Number 3(23), Pages 184–189
DOI: https://doi.org/10.18454/2079-6641-2018-23-3-184-189 (Mi vkam270) 		 
THEORETICAL AND APPLIED INFORMATICS

On the optimization of the constructive method of training neural networks

M. A. Kazakov

Institute of Applied Mathematics and Automation of Kabardin-Balkar Scientific Centre of RAS ( IAMA KBSC RAS), 360000, Nalchik, Shortanova st., 89A
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DOI: https://doi.org/10.18454/2079-6641-2018-23-3-184-189
URL: https://krasec.ru/kazakov-2018323
Abstract: The article suggests a constructive method for training neural networks in which neurons added just before the current epoch of training assume the main training load on the new class to ensure the stability of the network in relation to learning on new data classes. The results of computational experiments are presented.
Keywords: neural networks, machine learning, constructive training methods.
Funding agency Grant number
Russian Foundation for Basic Research 18-01-00050-а
This work was supported by the RFBR grant No. 18-01-00050-a.
Received: 08.06.2018
Bibliographic databases:
Document Type: Article
UDC: 519.7
MSC: 68Т27
Language: Russian
Citation: M. A. Kazakov, “On the optimization of the constructive method of training neural networks”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2018, no. 3(23), 184–189
Citation in format AMSBIB
\Bibitem{Kaz18}
\by M.~A.~Kazakov
\paper On the optimization of the constructive method of training neural networks
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2018
\issue 3(23)
\pages 184--189
\mathnet{http://mi.mathnet.ru/vkam270}
\crossref{https://doi.org/10.18454/2079-6641-2018-23-3-184-189}
\elib{https://elibrary.ru/item.asp?id=35604485}
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