A Fuzzy Identification Approach Based on the Hybrid Neutral Networks
Jingsheng Lei · Fudan xuebao. Ziran Kexue ban · 2004
A simple and effective fuzzy identification approach is presented. In contrast to most existing fuzzy identification methods, this method uses a hierarchical clustering architecture based on a hybrid neural network for decreasing computational cost of fuzzy identification procedures. The experimental results show that the proposed method can provide good model structure for fuzzy modelling and has high computing efficiency.