For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
An Adaptive Fuzzy Network
Zheng TANG Okihiko ISHIZUKA Hiroki MATSUMOTO
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1992/12/25
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Fuzzy Theory
fuzzy logic, adaptive, backpropagation, learning algorithm, multi-layer network, feedforward,
Full Text: PDF>>
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.