Adaptive noise cancellation using enhanced dynamic fuzzy neural networks.

In this paper, a novel adaptive noise cancellation algorithm using enhanced dynamic fuzzy neural networks (EDFNNs) is described. In the proposed algorithm, termed EDFNN learning algorithm, the number of radial basis function (RBF) neurons (fuzzy rules) and input-output space clustering is adaptively...

Täydet tiedot

Bibliografiset tiedot

Julkaisussa:	IEEE Transactions on fuzzy systems 13, 3 (2005).
Päätekijä:	Meng Joo Er
Aineistotyyppi:	Artikkeli
Kieli:	English
Aiheet:	Adaptive noise cancellation algorithm. Dynamic fuzzy neural networks. Fuzzy rules. Learning algorithm. Radial basis function neurons. Recursive least square error estimation. Self-organizing mapping.