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Research on input variable selection for numeric data based fuzzy modeling

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4 Author(s)
Zong-Yi Xing ; China Acad. of Railway Sci., Beijing, China ; Li-Min Jia ; Yong Qin ; Tao Lei

The first step to system modeling and control is input variable selection. Based on fast fuzzy modeling algorithm and input variable selection criterion, a simple and effective method for selecting input variables when building a Takagi-Sugeno fuzzy model is proposed. This method is applied to two well-known benchmark examples. Simulation results clearly show the effectiveness of the algorithm.

Published in:

Machine Learning and Cybernetics, 2003 International Conference on  (Volume:5 )

Date of Conference:

2-5 Nov. 2003