A simplified structure evolving method for Mamdani fuzzy system identification and its application to high-dimensional problems-Reference-Cited by-同舟云学术

A simplified structure evolving method for Mamdani fuzzy system identification and its application to high-dimensional problems

Published:2013-01 Issue: Volume:220 Page:110-123
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Wang Di,Zeng Xiao-Jun,Keane John A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference34 articles.

1. Evolving Intelligent Systems: Methodology and Applications;Angelov,2010

2. Local linear model tree (LOLIMOT) reconfigurable parallel hardware;Angelov;Transactions on Engineering Computing and Technology,2006

3. Evolving Fuzzy Systems,2006

4. An approach to online identification of Takagi–Sugeno fuzzy models;Angelov;IEEE Transactions on System, Man, and Cybernetics: Part B,2004

5. P. Angelov, D. Filev, Simpl_eTS: a simplified method for learning evolving Takagi–Sugeno fuzzy models, in: The 14th IEEE International Conference on Fuzzy Systems, 2005, pp. 1068–1073.

Cited by 29 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. A type-3 logic fuzzy system: Optimized by a correntropy based Kalman filter with adaptive fuzzy kernel size;Information Sciences;2021-09

2. Fuzzy Controller for Simplified Model of Mobile Vehicle Steering Booster;Multidisciplinary Aspects of Production Engineering;2021-09-01

3. Response of precipitation to extensive urbanization over the Pearl River Delta metropolitan region;Environmental Earth Sciences;2021-01

4. A Structural Evolving Approach for Fuzzy Systems;IEEE Transactions on Fuzzy Systems;2020-02

5. GA Based Fuzzy Neural Network Modeling for Nonlinear SISO System;DNA Computing Based Genetic Algorithm;2020