On the optimal design of fuzzy neural networks with robust learning for function approximation
Hung-Hsu Tsai, Pao-Ta Yu · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2000
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.