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
fDate :
4/25/1996 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19960523
