The Self-Adaptive Fuzzy Neural Network Based on Evolutionary Programming

In this paper, a approach for automatically generating fuzzy rules from sample patterns is presented. Firstly, with Cauchy mute operator and Gaussian mute operator, we propose a new evolutionary programming (EP) based on self-adaptive EP. Secondly, a self-adaptive fuzzy neural network is built based on the new evolutionary programming. In this method, structure identification and parameters estimation are performed automatically and simultaneously. The simulation results show that the proposed method in this paper can produce the compact and high performance fuzzy rule-base in comparison with other algorithms.