AnFiS-MoH: Systematic exploration of hybrid ANFIS frameworks via metaheuristic optimization hybridization with evolutionary and swarm-based algorithms

The adaptive neuro-fuzzy inference system (ANFIS) has shown promising performance in modeling nonlinear problems, leveraging the strengths of both neural networks and fuzzy inference systems. However, as the problem scale increases, the growing number of tunable parameters in ANFIS can make it chall...

Celý popis

Podrobná bibliografia

Vydané v:	Applied soft computing Ročník 167; s. 112334
Hlavní autori:	Wang, Haoyu, Chen, Bin, Sun, Hangling, Li, Anji, Zhou, Chenyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2024
Predmet:	Adaptive neuro-fuzzy inference Hybrid intelligent systems Metaheuristic optimization algorithms Nonlinear modeling and regression Metaheuristic optimization algorithms Nonlinear modeling and regression Adaptive neuro-fuzzy inference Hybrid intelligent systems
ISSN:	1568-4946
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!