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Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2012, Number 1(4), Pages 31–43
DOI: https://doi.org/10.18454/2079-6641-2012-4-1-31-43 (Mi vkam82) 		 
INFORMATION AND COMPUTATION TECHNOLOGIES

Neural network model diagnosis technical systems

T. I. Gorevaa, N. N. Pornjaginb, G. A. Pjukkec

a Branch of the Far Eastern Federal State University, 683031, Petropavlovsk-Kamchatsky, Tushkanova st., 11 / 1
b Gubkin Russian State University of Oil and Gas, 119996, Moscow, Leninsky prospekt., 65
c Kamchatka State Technical University, 683003, Petropavlovsk-Kamchatsky, Klychevskaya st. 35
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DOI: https://doi.org/10.18454/2079-6641-2012-4-1-31-43
Abstract: Proposed neural network model Defect diagnosis of technical systems as an example of diagnostic izovarnoy card electronic voltage regulator AC.
Keywords: neural network, synaptic connections, network Kohonen.
Received: 24.07.2012
Bibliographic databases:
Document Type: Article
UDC: 004.891.3
MSC: 92B20
Language: Russian
Citation: T. I. Goreva, N. N. Pornjagin, G. A. Pjukke, “Neural network model diagnosis technical systems”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2012, no. 1(4), 31–43
Citation in format AMSBIB
\Bibitem{GorPorPuk12}
\by T.~I.~Goreva, N.~N.~Pornjagin, G.~A.~Pjukke
\paper Neural network model diagnosis technical systems
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2012
\issue 1(4)
\pages 31--43
\mathnet{http://mi.mathnet.ru/vkam82}
\crossref{https://doi.org/10.18454/2079-6641-2012-4-1-31-43}
\elib{https://elibrary.ru/item.asp?id=18040839}
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