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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/7963
Title: Artificial neural network algorithms for active noise control applications
Authors: Fernández, Alejandro; Cobo, Pedro
Keywords: Active Noise Control Systems (ANC) (ANC) systems
Artificial Neural Networks (ANN)
Real-time systems
Issue Date: Sep-2002
Publisher: Sociedad Española de Acústica
Citation: Forum Acusticum Sevilla 2002. Electro-Acoustics and Instrumentation ; ELE-01-010
Abstract: This 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.
Description: 6 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.
URI: http://hdl.handle.net/10261/7963
ISBN: 84-87985-07-6
Appears in Collections:(IA) Comunicaciones congresos
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