Introduction Artificial Neuron Networks

E. Uljaev; M. Sapayev; Sh. N. Narzullayev; E. F. Xudoyberdiyev; F. B. Sodiqova

doi:10.31149/ijie.v5i6.3312

Authors

E. Uljaev
Uljaev@gmail.co
Professor at Tashkent state technical university named after Islam Karimov;
M. Sapayev Professor at Tashkent information Technologies University named after Muhammad al-Kharezmi
Sh. N. Narzullayev student Tashkent state technical university named after Islam Karimov
E. F. Xudoyberdiyev student Tashkent state technical university named after Islam Karimov
F. B. Sodiqova Researcher Tashkent state technical university named after Islam Karimov,

Vol. 5 No. 6 (2022): IJIE

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June 30, 2022

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Nowadays, a wide range of new possibilities for the construction of intelligent systems for the control of technological processes are developing through the use of artificial neural networks. The article describes the widespread use of symbols through artificial neural networks in issues such as recognition, prediction and diagnosis, optimization, signal processing under the influence of noise, and discusses the main parameters of the artificial neural network by the authors.

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