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

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

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...

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Bibliographic Details
Main Authors: David Aregovich Petrosov, Vadim Alexsandrovich Lomazov, Nataliy Vladimirovna Petrosova
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
artificial neural networks
genetic algorithm
intelligent information systems
Petri net theory
structural–parametric synthesis
GPGPU technology
Online Access:https://www.mdpi.com/2076-3417/11/9/3899

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