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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Veröffentlicht in:	Computer assisted methods in engineering and science Jg. 32; H. 1
Hauptverfasser:	Kenta Shiomi, Tetsuya Sato, Eisuke Kita
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Institute of Fundamental Technological Research Polish Academy of Sciences 2025
Schlagworte:	hyperparameter optimization multi layered perceptron (MLP) particle swarm optimization (PSO) wine dataset
ISSN:	2299-3649, 2956-5839
Online-Zugang:	Volltext
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