Title :
General fuzzy neural network: theory and applications
Author :
Xu, Li-Hong ; Yu, You-ling ; Wu, Qi-di ; Shi, Jin-Hui
Author_Institution :
Dept. of Electr. Eng., Tongji Univ., Shanghai, China
Abstract :
We proposed a new general fuzzy neural network (GFNN) which can process the structural self-organizing and parametric self-learning online. Based on the concept of fuzzy logic system, GFNN has a structure of a three-layer feedforward network and a wider information interface. Its neurons in the hidden layer correspond to the fuzzy rules and have some functions of information storage and inference. It is easy for GFNN to realize the novel structural self-organizing online with the presentation of three concepts: the match degree; the match degree criterion; and the minimum believable level. So it can be used to identify the time-varying nonlinear system online.
Keywords :
feedforward neural nets; fuzzy logic; fuzzy neural nets; identification; nonlinear systems; real-time systems; time-varying systems; unsupervised learning; feedforward network; fuzzy logic; fuzzy neural network; fuzzy rules; identification; match degree; minimum believable level; nonlinear systems; parametric self-learning; structural self-organizing; time-varying systems; Artificial neural networks; Control system synthesis; Electronic mail; Feedforward systems; Fuzzy logic; Fuzzy neural networks; Neural networks; Neurons; Nonlinear systems; Time varying systems;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.790152
