Introducing evolving Takagi–Sugeno method based on local least squares support vector machine models

Author:

Komijani Mohammad,Lucas Caro,Araabi Babak Nadjar,Kalhor Ahmad

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference42 articles.

1. Abonyi J, Babuska R (2000) Local and global identification and interpretation of parameters in Takagi–Sugeno fuzzy models. In: Proceedings IEEE international conference on fuzzy systems, pp 835–840

2. An S, Liu W, Venkatesh S (2007) Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression. Pattern Recognit 40(8):2154–2162

3. Angelov P, Filev D (2004) An approach to online identification of Takagi–Sugeno fuzzy models. IEEE Trans Syst Man Cybern B 34(1):484–498

4. Angelov PP, Filev D (2006) Simple_ eTS: a simplified method for learning evolving Takagi–Sugeno fuzzy models. In: Proceedings of the 11th IEEE international conference on fuzzy systems, pp 1068–1073

5. Angelov PP, Zhou X (2006) Evolving fuzzy systems from data streams in real-time. In: IEEE symposium on evolving fuzzy systems, Ambleside, Lake District, UK, pp 29–35

Cited by 22 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. Uma abordagem evolutiva com filtro de partículas e sistemas nebulosos para o monitoramento da condição de equipamentos;Anais do XI Encontro Nacional de Computação dos Institutos Federais (EnCompIF 2024);2024-07-21

2. Evolving Error Feedback Fuzzy Model for Improved Robustness Under Measurement Noise;IEEE Transactions on Fuzzy Systems;2023-03

3. Fuzzy Nonlinear Regression Modeling With Radial Basis Function Networks;IEEE Transactions on Fuzzy Systems;2023

4. An Intelligent Evolving Car-Following Model;IEEE Access;2023

5. Evolving Fuzzy logic Systems for creative personalized Socially Assistive Robots;Engineering Applications of Artificial Intelligence;2022-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3