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Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2018, Number 3(23), Pages 180–183
DOI: https://doi.org/10.18454/2079-6641-2018-23-3-180-183
(Mi vkam269)
 

THEORETICAL AND APPLIED INFORMATICS

Application of a logical neural network to the classification problem

R. A. Zhilov

Institute of Applied Mathematics and Automation of Kabardin-Balkar Scientific Centre of RAS ( IAMA KBSC RAS), 360000, Nalchik, Shortanova st., 89A
References:
Abstract: The solution of the classification problem is becoming more urgent due to the development of technology and the growth of the processed data volumes. The use of neural networks is mandatory when solving classification problems, because Neural networks have the ability to identify significant features and hidden patterns. The advantages of a logical neural network are: higher classification accuracy, higher learning and retraining.
Keywords: logical neural networks, training, data classification, trace algorithm.
Received: 08.06.2018
Bibliographic databases:
Document Type: Article
UDC: 519.7
MSC: 68T30
Language: Russian
Citation: R. A. Zhilov, “Application of a logical neural network to the classification problem”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2018, no. 3(23), 180–183
Citation in format AMSBIB
\Bibitem{Zhi18}
\by R.~A.~Zhilov
\paper Application of a logical neural network to the classification problem
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2018
\issue 3(23)
\pages 180--183
\mathnet{http://mi.mathnet.ru/vkam269}
\crossref{https://doi.org/10.18454/2079-6641-2018-23-3-180-183}
\elib{https://elibrary.ru/item.asp?id=35604484}
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