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Model. Anal. Inform. Sist., 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

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.

Full text: PDF file (378 kB)
References: PDF file   HTML file

UDC: 517.928 + 517.929
Received: 20.12.2010

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}


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    Citing articles on Google Scholar: Russian citations, English citations
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    This publication is cited in the following articles:
    1. M. N. Nazarov, “Iskusstvennaya neironnaya set s modulyatsiei koeffitsientov sinapsov”, Vestn. Sam. gos. tekhn. un-ta. Ser. Fiz.-mat. nauki, 2(31) (2013), 58–71  mathnet  crossref  elib
  • Моделирование и анализ информационных систем
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