Comparison of Particle Swarm Optimization Algorithms in Hyperparameter Optimization Problem of Multi Layered Perceptron

Comparison of Particle Swarm Optimization Algorithms in Hyperparameter Optimization Problem of Multi Layered Perceptron

This paper describes the application of particle swarm optimization (PSO) for the hyperparameter optimization problem of multi-layered perceptron (MLP) model. Several PSO algorithms are presented by many researchers; basic PSO, PSO with inertia weight (PSO-w), PSO with constriction factor (PSO-cf),...

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Bibliographic Details
Main Authors: Kenta Shiomi, Tetsuya Sato, Eisuke Kita
Format: Article
Language:English
Published: Institute of Fundamental Technological Research Polish Academy of Sciences 2025-02-01
Series:Computer Assisted Methods in Engineering and Science
Subjects:
multi layered perceptron (MLP)
hyperparameter optimization
particle swarm optimization (PSO)
wine dataset
Online Access:https://cames.ippt.pan.pl/index.php/cames/article/view/1730
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