DocumentCode
2288607
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
fYear
1997
fDate
7-9 Jul 1997
Firstpage
106
Lastpage
110
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;
fLanguage
English
Publisher
iet
Conference_Titel
Artificial Neural Networks, Fifth International Conference on (Conf. Publ. No. 440)
Conference_Location
Cambridge
ISSN
0537-9989
Print_ISBN
0-85296-690-3
Type
conf
DOI
10.1049/cp:19970710
Filename
607501
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