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Artificial Intelligence and Decision Making
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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}
Linking options:
  • https://www.mathnet.ru/eng/iipr566
  • https://www.mathnet.ru/eng/iipr/y2008/i2/p24
    • This publication is cited in the following 4 articles:
    1. Self-Learning and Adaptive Algorithms for Business Applications, 2019, 97  crossref
    2. Aleksey Kondratyev, Igor Tishchenko, Advances in Intelligent Systems and Computing, 447, Robot Intelligence Technology and Applications 4, 2017, 479  crossref
    3. V. P. Fralenko, M. V. Khachumov, M. V. Shustova, “The tools for automatically finding and visualization of interest areas in the MRI data to support of medical researchers decision-making”, 44, no. 6, 2017, 397–405  mathnet  mathnet  crossref
    4. Aleksey Kondratyev, Igor Tishchenko, 2016 18th Conference of Open Innovations Association and Seminar on Information Security and Protection of Information Technology (FRUCT-ISPIT), 2016, 131  crossref
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Abstract page:98
    Full-text PDF :52
    References:1
     
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