FUZZY NEURAL-NETWORK WITH RULE GENERATION

Authors
CHONG J LEE D JUNG K KIM W
Citation
J. Chong et al., FUZZY NEURAL-NETWORK WITH RULE GENERATION, Electronics Letters, 32(9), 1996, pp. 825-827
Citations number
3
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
Electronics Letters → ACNP
ISSN journal
00135194
Volume
32
Issue
9
Year of publication
1996
Pages
825 - 827
Database
ISI
SICI code
0013-5194(1996)32:9<825:FNWRG>2.0.ZU;2-Z
Abstract
A new fuzzy neural network for fuzzy modelling is proposed. The networ k 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 th network is pr oved by modelling a nonlinear system and comparing it to previous rese arch.