Fuzzy wavelet networks for function learning.

Inspired by the theory of multiresolution analysis (MRA) of wavelet transforms and fuzzy concepts, a fuzzy wavelet network (FWN) is proposed for approximating arbitrary nonlinear functions. The FWN consists of a set of fuzzy rules. Each rule corresponding to a sub-wavelet neural network (WNN) consis...

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Bibliographic Details

Published in:	IEEE Transactions on fuzzy systems 9, 1 (2001).
Main Author:	Ho, D.W.C
Format:	Article
Language:	English
Subjects:	Function learning. Fuzzy rules. Fuzzy wavelet networks. Generalization capability. Model accuracy. Multiresolution analysis. Single-scaling wavelets. Sub-wavelet neural network.