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University proceedings. Volga region. Physical and mathematical sciences, 2012, Issue 2, Pages 85–97 (Mi ivpnz493)  

This article is cited in 1 scientific paper (total in 1 paper)

Mathematics

Stability of Hopfield neural networks with delay

I. V. Boykov

Penza State University, Penza
Full-text PDF (358 kB) Citations (1)
References:
Abstract: The author investigates Lyapunov asymptotic stability of Hopfield neural networks with time lag, described by systems of nonlinear normal differential equations. The article considers Hopfield neural networks with time lags and discontinuous activation functions.
Keywords: Hopfield neural networks, asymptotic stability, Lyapunov stability.
Document Type: Article
UDC: 518.5
Language: Russian
Citation: I. V. Boykov, “Stability of Hopfield neural networks with delay”, University proceedings. Volga region. Physical and mathematical sciences, 2012, no. 2, 85–97
Citation in format AMSBIB
\Bibitem{Boy12}
\by I.~V.~Boykov
\paper Stability of Hopfield neural networks with delay
\jour University proceedings. Volga region. Physical and mathematical sciences
\yr 2012
\issue 2
\pages 85--97
\mathnet{http://mi.mathnet.ru/ivpnz493}
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  • https://www.mathnet.ru/eng/ivpnz493
  • https://www.mathnet.ru/eng/ivpnz/y2012/i2/p85
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    University proceedings. Volga region. Physical and mathematical sciences
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    Abstract page:29
    Full-text PDF :9
    References:8
     
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