Conjugate gradient-based Takagi-Sugeno fuzzy neural network parameter identification and its convergence analysis-Reference-Cited by-同舟云学术

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Conjugate gradient-based Takagi-Sugeno fuzzy neural network parameter identification and its convergence analysis

Published:2019-10 Issue: Volume:364 Page:168-181
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Gao Tao,Zhang Zhen,Chang Qin,Xie Xuetao,Ren Peng^ORCID,Wang Jian^ORCID

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference52 articles.

1. A fast algorithm to compute precise type-2 centroids for real-time control applications;Chakraborty;IEEE Trans. Fuzzy Syst.,2015

2. Structure identification of fuzzy model;Sugeno;Fuzzy Sets Syst.,1988

3. Fuzzy identification of systems and its application to modeling and control;Takagi;IEEE Trans. Syst., Man, Cybern.,1985

4. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing;Bezdek,1999

5. Pattern Recognition with Fuzzy Objective Function Algorithm;Bezdek,1981

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