Interval type-2 fuzzy neural networks with asymmetric MFs based on the twice optimization algorithm for nonlinear system identification

This paper proposes a novel algorithm twice optimization for interval type-2 fuzzy neural networks with asymmetric membership functions (TOIT2FNN-AMF), for nonlinear system identification problems. The proposed TOIT2FNN-AMF uses an asymmetric Gaussian interval type-2 membership function to enhance t...

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Vydáno v:	Information sciences Ročník 629; s. 123 - 143
Hlavní autoři:	Liu, Jiapu, Zhao, Taoyan, Cao, Jiangtao, Li, Ping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.06.2023
Témata:	Adaptive moment estimation (Adam) Asymmetric membership function (AMF) Interval type-2 neural network (IT2FNN) Multi-strategy adaptive differential evolution algorithm (MSADE) Recursive least squares (RLS) Twice optimization algorithm (TOA) Recursive least squares (RLS) Adaptive moment estimation (Adam) Asymmetric membership function (AMF) Twice optimization algorithm (TOA) Multi-strategy adaptive differential evolution algorithm (MSADE) Interval type-2 neural network (IT2FNN)
ISSN:	0020-0255, 1872-6291
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