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Intelligent control systems using algorithms of the entropie potential method
Author(s) -
O. A. Jumaev,
J. T. Nazarov,
G B Makhmudov,
M. T. Ismoilov,
M F Shermuradova
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2094/2/022030
Subject(s) - artificial neural network , computer science , control (management) , artificial intelligence , state (computer science) , industrial engineering , machine learning , algorithm , engineering
As part of neural network systems, an artificial neural network can perform various functions like diagnostics of technological equipment, control of moving objects and technological processes, forecasting situations, as well as assessing the state and monitoring of technological processes.

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