A self-organizing neural-network-based fuzzy system
Yin Wang · 1997
We present in this paper a neural-network-based fuzzy system. It is a self-organizing neural-network. By combining both nearest neighborhood clustering and back-propagation learning scheme, it can be trained to develop fuzzy logic rules and find optimal fuzzy membership functions. Simulation results suggest that the method has merits of simple structure, fast learning speed and good modeling accuracy.