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

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2 Author(s)
Hung-Hsu Tsai ; Dept. of Inf. Manage., Nan Hua Univ., Chiayi, Taiwan ; Pao-Ta Yu

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

Published in:

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on  (Volume:30 ,  Issue: 1 )