Title :
A self-organizing neural-network-based fuzzy system
Author :
Wang, Yin ; Rong, Gang
Author_Institution :
Res. Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Abstract :
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 a 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
Keywords :
fuzzy neural nets; backpropagation learning scheme; fuzzy logic rules; modeling accuracy; nearest neighborhood clustering; neural network-based fuzzy system; optimal fuzzy membership functions; self-organizing neural network; simulation;
Conference_Titel :
Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440)
Conference_Location :
Cambridge
Print_ISBN :
0-85296-690-3
DOI :
10.1049/cp:19970710
