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),...

Celý popis

Podrobná bibliografia

Vydané v:	Computer assisted methods in engineering and science Ročník 32; číslo 1
Hlavní autori:	Kenta Shiomi, Tetsuya Sato, Eisuke Kita
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Institute of Fundamental Technological Research Polish Academy of Sciences 2025
Predmet:	hyperparameter optimization multi layered perceptron (MLP) particle swarm optimization (PSO) wine dataset
ISSN:	2299-3649, 2956-5839
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!