Development of an Algorithm for Multicriteria Optimization of Deep Learning Neural Networks

Development of an Algorithm for Multicriteria Optimization of Deep Learning Neural Networks

Nowadays, machine learning methods are actively used to process big data. A promising direction is neural networks, in which structure optimization occurs on the principles of self-configuration. Genetic algorithms are applied to solve this nontrivial problem. Most multicriteria evolutionary algorit...

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Bibliographic Details
Main Authors: Islam A. Alexandrov, Andrey V. Kirichek, Vladimir Z. Kuklin, Leonid M. Chervyakov
Format: Article
Language:English
Published: Ital Publication 2023-03-01
Series:HighTech and Innovation Journal
Subjects:
neural networks
genetic algorithms
hybrid co-evolutionary algorithm
feature selection
multicriteria optimization.
Online Access:https://hightechjournal.org/index.php/HIJ/article/view/371

Internet

https://hightechjournal.org/index.php/HIJ/article/view/371

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