Fuzzy Integration of Support Vector Regression Models for Anticipatory Control of Complex Energy Systems

Publisher： IGI Global_journal

E-ISSN： 2166-725x|2|2|26-40

ISSN： 2166-7241

Source： International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), Vol.2, Iss.2, 2014-04, pp. : 26-40

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Fuzzy system identification based on support vector regression and genetic algorithm

By Li Wei   Yang Yupu   Yang Zhong   Zhang Changying  

International Journal of Modelling, Identification and Control, Vol. 12, Iss. 1-2, 2011-12 ,pp. : 50-55

Inderscience Publishers

Access to resources Recommend Favorite

Sliding mode-like learning control for SISO complex systems with T-S fuzzy models

By Tay Feisiang   Man Zhihong   Cao Zhenwei   Khoo Suiyang   Tan Chee Pin  

International Journal of Modelling, Identification and Control, Vol. 16, Iss. 4, 2012-07 ,pp. : 317-326

Inderscience Publishers

Access to resources Recommend Favorite

Elements of a cybernetic epistemology: complex anticipatory systems

By Nechansky Helmut  

Kybernetes: The International Journal of Systems & Cybernetics, Vol. 42, Iss. 2, 2013-02 ,pp. : 207-225

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Combining case-based reasoning systems and support vector regression to evaluate the atmosphere-ocean interaction

By De Paz Juan  

Knowledge and Information Systems, Vol. 30, Iss. 1, 2012-01 ,pp. : 155-177

Springer Publishing Company

Access to resources Recommend Favorite

Interval type-2 fuzzy weighted support vector machine learning for energy efficient biped walking

By Wang Liyang   Liu Zhi   Chen C.   Zhang Yun  

Applied Intelligence, Vol. 40, Iss. 3, 2014-04 ,pp. : 453-463

Springer Publishing Company

Access to resources Recommend Favorite