Fuzzy rule dropout with dynamic compensation for wide learning algorithm of TSK fuzzy classifier

Author:

Qin BinORCID,Chung Fu-lai,Nojima YusukeORCID,Ishibuchi Hisao,Wang Shitong

Publisher

Elsevier BV

Subject

Software

Reference50 articles.

1. Comparative study of interval type-2 and general type-2 fuzzy systems in medical diagnosis;Ontiveros;Inform. Sci.,2020

2. Study of the relevance of polynomial order in Takagi–Sugeno fuzzy inference systems applied in diagnosis problems, hybrid intelligent systems in control;Ontiveros;Pattern Recognit. Med.,2020

3. A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting;Chang;Appl. Soft Comput.,2016

4. Aljaž Blažič, Igor Škrjanc, Vito Logar, Soft sensor of bath temperature in an electric arc furnace based on a data-driven Takagi–Sugeno fuzzy model, Appl. Soft Comput. early access.

5. Bin Qin, Yusuke Nojima, Hisa Ishibuchi, Shiton Wang, Realizing Deep High-order TSK Fuzzy Classifier by Ensembling Interpretable Zero-order TSK Fuzzy Subclassifiers, IEEE Trans. Fuzzy Syst. early access.

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