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Modelirovanie i Analiz Informatsionnykh Sistem, 2011, Volume 18, Number 2, Pages 65–76 (Mi mais177)  

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

Principles of constructing layered neural networks based on pulse neurons

O. A. Dunaeva

P. G. Demidov Yaroslavl State University
Full-text PDF (378 kB) Citations (1)
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Abstract: In the article we describe principles of pulse implementation of multilayer neural networks using biologically plausible neurons. It is shown that the multilayer perceptron can be modeled with a neural network composed of pulse neurons using impulse information coding.
Keywords: Impulse coding of information, asymptotic analysis, McCulloch–Pits neuron, multilayer perceptron.
Received: 20.12.2010
UDC: 517.928 + 517.929
Language: Russian
Citation: O. A. Dunaeva, “Principles of constructing layered neural networks based on pulse neurons”, Model. Anal. Inform. Sist., 18:2 (2011), 65–76
Citation in format AMSBIB
\Bibitem{Dun11}
\by O.~A.~Dunaeva
\paper Principles of constructing layered neural networks based on pulse neurons
\jour Model. Anal. Inform. Sist.
\yr 2011
\vol 18
\issue 2
\pages 65--76
\mathnet{http://mi.mathnet.ru/mais177}
Linking options:
  • https://www.mathnet.ru/eng/mais177
  • https://www.mathnet.ru/eng/mais/v18/i2/p65
  • 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
    Моделирование и анализ информационных систем
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    References:44
     
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