Application of a Genetic Algorithm for Selecting Neural Network Hyperparameters

The widespread use of various neural networks (NNs) for detecting network attacks is hampered by the determination of NN hyperparameters. Typically, hyperparameter values are determined experimentally. An approach to select perceptron hyperparameters for detecting network attacks using a genetic algorithm is presented. The experimental results confirm the validity of using this approach.

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Publication Details

Journal
Automatic Control and Computer Sciences
Published
2025-12-01
DOI
https://doi.org/10.3103/s0146411625700907
Primary Topic
Statistical and Computational Modeling
Type
article
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article

Application of a Genetic Algorithm for Selecting Neural Network Hyperparameters

V. V. Platonov, V. G. Anisimov, Ya. E. Yanbarisova, A. F. Suprun
Automatic Control and Computer Sciences
Statistical and Computational Modeling
article

Application of a Genetic Algorithm for Selecting Neural Network Hyperparameters

V. V. Platonov, V. G. Anisimov, Ya. E. Yanbarisova, A. F. Suprun
article en

Abstract

The widespread use of various neural networks (NNs) for detecting network attacks is hampered by the determination of NN hyperparameters. Typically, hyperparameter values are determined experimentally. An approach to select perceptron hyperparameters for detecting network attacks using a genetic algorithm is presented. The experimental results confirm the validity of using this approach.

Automatic Control and Computer SciencesVol. 59(8)
Peter the Great St. Petersburg Polytechnic University (RU)
Openalex Percentile: Top 14%
Statistical and Computational Modeling
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