Fuzzy Adaptive Knowledge-Based Inference Neural Networks: Design and Analysis

A novel fuzzy adaptive knowledge-based inference neural network (FAKINN) is proposed in this study. Conventional fuzzy cluster-based neural networks (FCBNNs) suffer from the challenge of a direct extraction of fuzzy rules that can capture and represent the interclass heterogeneity and intraclass hom...

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Veröffentlicht in:	IEEE transactions on cybernetics 2024-09, Vol.54 (9), p.4875-4888
Hauptverfasser:	Liu, Shuangrong, Oh, Sung-Kwun, Pedrycz, Witold, Yang, Bo, Wang, Lin, Seo, Kisung
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Feature extraction Fuzzy adaptive knowledge base fuzzy clustering fuzzy neural network (FNN) Fuzzy neural networks Knowledge based systems Linguistics observer Radial basis function networks Robustness successive learning
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