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Problemy Peredachi Informatsii, 1996, Volume 32, Issue 4, Pages 35–45 (Mi ppi352)  
This article is cited in 1 scientific paper (total in 1 paper)

Large Systems

Estimation of the Approximation Accuracy by Means of Superposition of Potential Functions

A. A. Pervozvanskii
Full-text PDF (865 kB) Citations (1)
Abstract: Estimates of the number of elements of an artificial neural network based on using elements of the potential-function type are given. It is shown that, under a reasonable choice of characteristics of the elements and not too large a dimension of space, the attainable approximation accuracy of smooth functions is not worse than that for sigmoidal-type perceptrons, while the adjustment is accomplished by a single parameter.
Received: 20.06.1995
Bibliographic databases:
Document Type: Article
UDC: 621.391.1
Language: Russian
Citation: A. A. Pervozvanskii, “Estimation of the Approximation Accuracy by Means of Superposition of Potential Functions”, Probl. Peredachi Inf., 32:4 (1996), 35–45; Problems Inform. Transmission, 32:4 (1996), 331–341
Citation in format AMSBIB
\Bibitem{Per96}
\by A.~A.~Pervozvanskii
\paper Estimation of the Approximation Accuracy by Means of Superposition of Potential Functions
\jour Probl. Peredachi Inf.
\yr 1996
\vol 32
\issue 4
\pages 35--45
\mathnet{http://mi.mathnet.ru/ppi352}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=1441521}
\zmath{https://zbmath.org/?q=an:1038.41500}
\transl
\jour Problems Inform. Transmission
\yr 1996
\vol 32
\issue 4
\pages 331--341
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    • 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
    		Проблемы передачи информации Problems of Information Transmission
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