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.
Authors
- V. V. Platonov
- V. G. Anisimov
- Ya. E. Yanbarisova
- A. F. Suprun
Institutions
- Peter the Great St. Petersburg Polytechnic University (RU)
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
- Field-Weighted Citation Impact
- 0.00