@article {IOPORT.05718789,
    author       = {Li, Wei and Yang, Yupu},
    title        = {A new approach to TS fuzzy modeling using dual kernel-based learning machines.},
    year         = {2008},
    journal      = {Neurocomputing},
    volume       = {71},
    number       = {16-18},
    issn         = {0925-2312},
    pages        = {3660-3665},
    publisher    = {Elsevier Science Publishers B.V., Amsterdam},
    doi          = {10.1016/j.neucom.2008.03.002},
    abstract     = {Summary: 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.},
    identifier   = {05718789},
}