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Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/7963
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dc.contributor.authorFernández, Alejandro-
dc.contributor.authorCobo, Pedro-
dc.date.accessioned2008-10-23T08:00:22Z-
dc.date.available2008-10-23T08:00:22Z-
dc.date.issued2002-09-
dc.identifier.citationForum Acusticum Sevilla 2002. Electro-Acoustics and Instrumentation ; ELE-01-010en_US
dc.identifier.isbn84-87985-07-6-
dc.identifier.urihttp://hdl.handle.net/10261/7963-
dc.description6 pages, 5 figures.-- PACS nr.: 43.50 Ki.-- Communication presented at: Forum Acusticum Sevilla 2002 (Sevilla, Spain, 16-20 Sep 2002), comprising: 3rd European Congress on Acoustics; XXXIII Spanish Congress on Acoustics (TecniAcústica 2002); European and Japanese Symposium on Acoustics; 3rd Iberian Congress on Acoustics.-- Special issue of the journal Revista de Acústica, Vol. XXXIII, year 2002.en_US
dc.description.abstractThis paper shows the use of several methods commonly applied to training Artificial Neural Networks (ANN) in Active Noise Control (ANC) systems. Although ANN are usually focused on off-line training, real-time systems can take advantage of modern microprocessors in order to use these techniques. A theoretical study of which of these methods suit best in ANC systems is presented. The results of several simulations will show their effectiveness.en_US
dc.description.sponsorshipThis work has been supported by the Comisión Interministerial de Ciencia y Tecnología (CICYT) under the project DPI2001-1613-C02-01.en_US
dc.format.extent348844 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoengen_US
dc.publisherSociedad Española de Acústicaen_US
dc.rightsopenAccessen_US
dc.subjectActive Noise Control Systems (ANC) (ANC) systemsen_US
dc.subjectArtificial neural networksen_US
dc.subjectTrainingen_US
dc.subjectReal-time systemsen_US
dc.titleArtificial neural network algorithms for active noise control applicationsen_US
dc.typecomunicación de congresoen_US
dc.description.peerreviewedPeer revieweden_US
dc.type.coarhttp://purl.org/coar/resource_type/c_5794es_ES
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypecomunicación de congreso-
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