An adaptive second order fuzzy neural network for nonlinear system modeling

In this paper, an adaptive second order algorithm (ASOA) has been developed to train the fuzzy neural network (FNN) to achieve fast and robust convergence for nonlinear system modeling. Different from recent studies, this ASOA-based FNN (ASOA-FNN) has the quasi Hessian matrix and gradient vector whi...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 214; s. 837 - 847
Hlavní autori:	Han, Hong-Gui, Ge, Lu-Ming, Qiao, Jun-Fei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 19.11.2016
Predmet:	Adaptive second-order algorithm Fast convergence Fuzzy neural network Nonlinear system modeling Nonlinear system modeling Fast convergence Fuzzy neural network Adaptive second-order algorithm
ISSN:	0925-2312, 1872-8286
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