A design of fuzzy rule-based classifier optimized through softmax function and information entropy-Reference-Cited by-同舟云学术

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A design of fuzzy rule-based classifier optimized through softmax function and information entropy

Published:2024-05 Issue: Volume:156 Page:111498
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Han Xiaoyu,Zhu Xiubin,Pedrycz Witold,Mostafa Almetwally M.^ORCID,Li Zhiwu^ORCID

Publisher

Elsevier BV

Reference41 articles.

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

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

3. Horizontal progressive and longitudinal leapfrogging fuzzy classification with feature activity adjustment;Xue;Appl. Soft Comput.,2022

4. A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting;Zhu;Appl. Soft Comput.,2021

5. Application of interval type-2 fuzzy logic systems to gas turbine fault diagnosis;Montazeri-Gh;Appl. Soft Comput.,2020

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