DocumentCode
881924
Title
Fuzzy neural network with rule generation
Author
Chong, J. ; Lee, D. ; Jung, K. ; Kim, W.
Author_Institution
Dept. of Electron. Eng., Seoul Nat. Univ., South Korea
Volume
32
Issue
9
fYear
1996
fDate
4/25/1996 12:00:00 AM
Firstpage
825
Lastpage
827
Abstract
A new fuzzy neural network for fuzzy modelling is proposed. The network is composed of five layers and each layer corresponds to a step in the fuzzy inference process. The backpropagation algorithm is applied to adjust the learning parameters. The feasibility of the network is proved by modelling a nonlinear system and comparing it to previous research
Keywords
backpropagation; fuzzy neural nets; inference mechanisms; backpropagation algorithm; fuzzy inference process; fuzzy modelling; fuzzy neural network; learning parameters adjustment; nonlinear system modeling; rule generation;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19960523
Filename
492946
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