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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Bibliographic Details

Published in:	Information sciences Vol. 629; pp. 123 - 143
Main Authors:	Liu, Jiapu, Zhao, Taoyan, Cao, Jiangtao, Li, Ping
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2023
Subjects:	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
Online Access:	Get full text
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