Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis

Author:

Li Wei,Qiao JunfeiORCID,Zeng Xiao-Jun,Du Shengli

Funder

National Natural Science Foundation of China

Beijing Postdoctoral International Exchange Funding

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference64 articles.

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Simplification of ANFIS based on importance-confidence-similarity measures;Fuzzy Sets and Systems;2024-04

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3. Stochastic Configured Fuzzy System Modeling based on Information Granulation and Association Analysis;2023 9th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS);2023-06-02

4. Fractional Order Learning Methods for Nonlinear System Identification Based on Fuzzy Neural Network;International Journal of Numerical Analysis and Modeling;2023-06

5. T-S fuzzy model identification based on an improved interval type-2 fuzzy c-regression model;Journal of Intelligent & Fuzzy Systems;2023-03-09

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