APPROACH TO THE SYNTHESIS OF NEURAL NETWORK STRUCTURE DURING…

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  • DOI 10.47839/ijc.19.1.1689
  • OpenAlex ID W3016747886
  • Type Article
  • Language EN
  • Published 31 Mar 2020
  • Pages 20–26
  • Source International Journal of Computing
  • Publisher Research Institute of Intelligent C…
  • FWCI 1.18
  • Countries 1
  • Institutions 1
  • Added 24 Apr 2020
  • Updated 21 Oct 2026
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APPROACH TO THE SYNTHESIS OF NEURAL NETWORK STRUCTURE DURING CLASSIFICATION

Article 2020 EN Diamond

Evaluating the number of hidden neurons necessary for solving of pattern recognition and classification tasks is one of the key problems in artificial neural networks. Multilayer perceptron is the most useful artificial neural network to estimate the functional structure in classification. In this paper, we show that artificial neural network with a two hidden layer feed forward neural network wit…

40

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35

References

2

Authors

1.18

FWCI

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2 authors
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1 Avazjon Rakhimovich Marakhimov National University of Uzbekis… (UZ) —
2 Kabul Kadirbergenovich Khudaybergenov National University of Uzbekis… (UZ)

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