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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 04(72) 2019

Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Borankulova, G. S., & Tungatarova, A. T.

Artificial neural network features.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-04-72-12

DOI: https://dx.doi.org/10.15863/TAS.2019.04.72.12

Language: English

Citation: Borankulova, G. S., & Tungatarova, A. T. (2019). Artificial neural network features. ISJ Theoretical & Applied Science, 04 (72), 71-74. Soi: http://s-o-i.org/1.1/TAS-04-72-12 Doi: https://dx.doi.org/10.15863/TAS.2019.04.72.12

Pages: 71-74

Published: 30.04.2019

Abstract: The article describes how the theory of artificial neural networks is rapidly developing, which has worked well in the field of management, where the use of human intelligence is essential.

Key words: neural networks, artificial intelligence, information systems.


 

 

 

 

 

 

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