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Neural Network Construction for Recognition Problems with Standard Information on the Basis of a Model of Algorithms with Piecewise Linear Surfaces and Parameters

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Abstract

For recognition problems with standard information, a neural network reproducing computations performed by a correct algorithm is constructed on the basis of the operator approach and a model of algorithms with parameters and piecewise linear surfaces.

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Author information

Authors and Affiliations

  1. Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control”, Russian Academy of Sciences, 119333, Moscow, Russia

    Yu. I. Zhuravlev

  2. Al-Farabi Kazakh National University, 050040, Almaty, Kazakhstan

    A. E. Dyusembaev

Authors
  1. Yu. I. Zhuravlev
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  2. A. E. Dyusembaev
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Corresponding authors

Correspondence to Yu. I. Zhuravlev or A. E. Dyusembaev.

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Zhuravlev, Y.I., Dyusembaev, A.E. Neural Network Construction for Recognition Problems with Standard Information on the Basis of a Model of Algorithms with Piecewise Linear Surfaces and Parameters. Dokl. Math. 100, 411–415 (2019). https://doi.org/10.1134/S1064562419050041

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  • DOI: https://doi.org/10.1134/S1064562419050041

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