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...

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Veröffentlicht in:	Applied soft computing Jg. 167; S. 112334
Hauptverfasser:	Wang, Haoyu, Chen, Bin, Sun, Hangling, Li, Anji, Zhou, Chenyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2024
Schlagworte:	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
Online-Zugang:	Volltext
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