A generalized Takagi–Sugeno–Kang recurrent fuzzy-neural filter for adaptive noise cancelation

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dc.contributor.author Mastorocostas, Paris
dc.contributor.author Varsamis, Dimitris
dc.contributor.author Hilas, Constantinos
dc.contributor.author Mastorocostas, Constantinos
dc.date.accessioned 2015-06-25T14:06:15Z
dc.date.available 2015-06-25T14:06:15Z
dc.date.issued 2008-10
dc.identifier.issn 1433-3058
dc.identifier.other http://link.springer.com/article/10.1007/s00521-007-0129-3 el
dc.identifier.uri http://apothesis.teicm.gr/xmlui/handle/123456789/1497
dc.description.abstract This paper presents a recurrent fuzzy-neural filter for adaptive noise cancelation. The cancelation task is transformed to a system-identification problem, which is tackled by use of the dynamic neuron-based fuzzy neural network (DN-FNN). The fuzzy model is based on Takagi–Sugeno–Kang fuzzy rules, whose consequent parts consist of linear combinations of dynamic neurons. The orthogonal least squares method is employed to select the number of rules, along with the number and kind of dynamic neurons that participate in each rule. Extensive simulation results are given and performance comparison with a series of other dynamic fuzzy and neural models is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals. en
dc.format.extent 9 el
dc.language.iso en el
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.title A generalized Takagi–Sugeno–Kang recurrent fuzzy-neural filter for adaptive noise cancelation en
dc.type Άρθρο σε επιστημονικό περιοδικό el
dc.identifier.doi 10.1007/s00521-007-0129-3
dc.publication.category Απαγόρευση δημοσίευσης - Βιβλιογραφική αναφορά el
dc.relation.journal Neural Computing and Applications;Vol. 17, Iss. 5-6
dc.subject.keyword Recurrent fuzzy-neural modeling el
dc.subject.keyword Dynamic neurons el
dc.subject.keyword Adaptive noise cancelation el


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Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές