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Neural identification of a dynamic model of a technological process

N. R. YusupbekovDepartment of Automatization of Production Processes, Tashkent State Technical University, Tashkent, UzbekistanSh.M GulyamovDepartment of Automatization of Production Processes, Tashkent State Technical University, Tashkent, UzbekistanMalika DoshchanovaTechnologies named after Muhammad al-Khwarizmi, Software engineering Tashkent University of Information, Tashkent, Uzbekistan
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Abstract

The problem of determining the rational mode of the technological process on the basis of a fuzzy production model is considered, as well as the task of automatically controlling the main parameters of the oil cracking process taking into account its dynamic characteristics using the error back propagation algorithm to adapt a multidimensional fuzzy controller.

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