Intelligent control systems using algorithms of the entropie potential method
O A JumaevNavoi State Mining Institute, Department of Automation and Control, Faculty of Automation, Navoi, UzbekistanJamoliddin NazarovNavoi State Mining Institute, Department of Automation and Control, Faculty of Automation, Navoi, UzbekistanGiyosjon MakhmudovNavoi State Mining Institute, Department of Automation and Control, Faculty of Automation, Navoi, UzbekistanM T IsmoilovNavoi State Mining Institute, Department of Automation and Control, Faculty of Automation, Navoi, UzbekistanMalika ShermuradovaNavoi State Mining Institute, Department of Automation and Control, Faculty of Automation, Navoi, Uzbekistan
ABI
Abstract
Abstract 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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