An Adaptive Fuzzy Network

Zheng TANG
Okihiko ISHIZUKA
Hiroki MATSUMOTO

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E75-A    No.12    pp.1826-1828
Publication Date: 1992/12/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Fuzzy Theory
Keyword: 
fuzzy logic,  adaptive,  backpropagation,  learning algorithm,  multi-layer network,  feedforward,  

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Summary: 
An adaptive fuzzy network (AFN) is described that can be used to implement most of fuzzy logic functions. We introduce a learning algorithm largely borrowed from backpropagation algorithm and train the AFN system for several typical fuzzy problems. Simulations show that an adaptive fuzzy network can be implemented with the proposed network and algorithm, which would be impractical for a conventional fuzzy system.