On the optimal design of fuzzy neural networks with robust learning for function approximation.
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.
Tsai
H H
HH
Dept. of Inf. Manage., Nan Hua Univ., Chiayi.
Yu
P T
PT