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...
| Pubblicato in: | IEEE Transactions on fuzzy systems 9, 1 (2001). |
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| Autore principale: | |
| Natura: | Articolo |
| Lingua: | inglese |
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