On the optimal design of fuzzy neural networks with robust learningfor function approximation

Authors:
Hung-Hsu Tsai;Pao-Ta Yu
Affiliations:
Dept. of Inf. Manage., Nan Hua Univ., Chiayi;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Year:
2000

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Abstract

A novel robust learning algorithm for optimizing fuzzy neural networks is proposed to address two important issues: how to reduce the outlier effects and how to optimize fuzzy neural networks, in the function approximation. This algorithm is able to reduce the outlier effects by cooperating with a conventional robust approach, and then to optimize fuzzy neural networks by determining the optimal learning rates which can minimize the next-step mean error at each iteration of our algorithm