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Vestnik Yuzhno-Ural'skogo Gosudarstvennogo Universiteta. Seriya "Matematika. Mekhanika. Fizika"
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Vestnik Yuzhno-Ural'skogo Gosudarstvennogo Universiteta. Seriya "Matematika. Mekhanika. Fizika", 2012, Issue 7, Pages 157–160 (Mi vyurm139)  
This article is cited in 1 scientific paper (total in 1 paper)

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The stability domain in the parameters space of recursive neural networks with hypercube topology

S. A. Ivanov

Chelyabinsk State Pedagogical University
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Abstract: The stability conditions are described for the discrete neural networks. The stability domains in the parameters space are constructed. The problem is reduced to the stability problem of finite-difference matrix equations of higher order with delay. The main method to solve the problem is the stability cone.
Keywords: neural networks, finite-difference matrix equations, finite-difference equations stability, hypercube.
Received: 07.05.2012
Document Type: Article
UDC: 517.96
Language: Russian
Citation: S. A. Ivanov, “The stability domain in the parameters space of recursive neural networks with hypercube topology”, Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz., 2012, no. 7, 157–160
Citation in format AMSBIB
\Bibitem{Iva12}
\by S.~A.~Ivanov
\paper The stability domain in the parameters space of recursive neural networks with hypercube topology
\jour Vestn. Yuzhno-Ural. Gos. Un-ta. Ser. Matem. Mekh. Fiz.
\yr 2012
\issue 7
\pages 157--160
\mathnet{http://mi.mathnet.ru/vyurm139}
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  • https://www.mathnet.ru/eng/vyurm/y2012/i7/p157
    • This publication is cited in the following 1 articles:
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