Adaptive noise cancellation using enhanced dynamic fuzzy neural networks.

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...

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Détails bibliographiques
Publié dans:IEEE Transactions on fuzzy systems 13, 3 (2005).
Auteur principal: Meng Joo Er
Format: Article
Langue:English
Sujets:
Adaptive noise cancellation algorithm.
Dynamic fuzzy neural networks.
Fuzzy rules.
Learning algorithm.
Radial basis function neurons.
Recursive least square error estimation.
Self-organizing mapping.