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Artificial Intelligence and Decision Making, 2008, Issue 2, Pages 24–33 (Mi iipr566)  
This article is cited in 4 scientific papers (total in 4 papers)

Soft computing

Analysis of the efficiency of applying artificial neuron networks for solving recognition, compression, and prediction problems

A. A. Talalaeva, I. P. Tishchenkoa, V. P. Fralenkoa, V. M. Khachumovb

a Ailamazyan Program Systems Institute of Russian Academy of Sciences
b Institute for Systems Analysis of Russian Academy of Sciences
Full-text PDF (1185 kB) Citations (4)
Abstract: The paper summarizes the experience of developing the PS ANN image recognition software system based on artificial neural networks (ANNs). The real abilities of neural networks to solve image recognition, data compression, and extrapolation problems are demonstrated. The results of experimental studies on accelerating parallel task computations are presented.
Keywords: artificial neural network, algorithm, recognition, image, efficiency, parallel computation, parallel computing system.
English version:
Scientific and Technical Information Processing, 2011, Volume 38, Issue 5, Pages 313–321
DOI: https://doi.org/10.3103/S0147688211050091
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov, “Analysis of the efficiency of applying artificial neuron networks for solving recognition, compression, and prediction problems”, Artificial Intelligence and Decision Making, 2008, no. 2, 24–33; Scientific and Technical Information Processing, 38:5 (2011), 313–321
Citation in format AMSBIB
\Bibitem{TalTisFra08}
\by A.~A.~Talalaev, I.~P.~Tishchenko, V.~P.~Fralenko, V.~M.~Khachumov
\paper Analysis of the efficiency of applying artificial neuron networks for solving recognition, compression, and prediction problems
\jour Artificial Intelligence and Decision Making
\yr 2008
\issue 2
\pages 24--33
\mathnet{http://mi.mathnet.ru/iipr566}
\elib{https://elibrary.ru/item.asp?id=11790368}
\transl
\jour Scientific and Technical Information Processing
\yr 2011
\vol 38
\issue 5
\pages 313--321
\crossref{https://doi.org/10.3103/S0147688211050091}
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  • https://www.mathnet.ru/eng/iipr/y2008/i2/p24
    • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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