A new approach to TS fuzzy modeling using dual kernel-based learning machines

作者：Li, Wei^*; Yang, Yupu

来源：Neurocomputing, 2008, 71(16-18): 3660-3665.

DOI：10.1016/j.neucom.2008.03.002

• TS fuzzy modeling
• Structure identification
• Dual kernel learning machines
• Combination strategy

This paper proposes a novel approach for structure identification of TS fuzzy model using dual kernel-based learning machines. Firstly, a convenient kernel fuzzy C-means clustering algorithm is developed to partition the data set into several clusters. Secondly, a new kernel function which is free of parameter selection is utilized to locate support vectors in each cluster. Finally, the model structure is further simplified by a combination strategy for support vectors. The experimental results show that the resulting model has concise structure and good generalization ability, especially its performance is insensitive to initial clustering number.

• 出版日期2008-10
• 单位上海交通大学