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Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/45300
Title: Model of an artificial neural network for solving the problem of controlling a genetic algorithm using the mathematical apparatus of the theory of Petri nets
Authors: Petrosov, D. A.
Lomazov, V. A.
Petrosova, N. V.
Keywords: technique
cybernetics
artificial neural networks
genetic algorithm
intelligent information systems
Petri net theory
structural-parametric synthesis
GPGPU technology
Issue Date: 2021
Citation: Petrosov, D.A. Model of an artificial neural network for solving the problem of controlling a genetic algorithm using the mathematical apparatus of the theory of Petri nets / D.A. Petrosov, V.A. Lomazov, N.V. Petrosova // Applied Sciences. - 2021. - Vol.11, №9.-Art. 3899.
Abstract: The aim of the study was to increase the speed, quantity and quality of solutions in intelligent systems aimed at solving the problem of structural-parametric synthesis of models of large discrete systems with a given behavior. As a hypothesis, it was assumed that the adapted model of an artificial neural network is able to control changes in the parameters of the functioning of the operators of the genetic algorithm directly in the process of solving the problem of intelligent structural-parametric synthesis of models of large discrete systems
URI: http://dspace.bsu.edu.ru/handle/123456789/45300
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