Digital.CSIC > Ciencia y Tecnologías Físicas > Instituto de Acústica (IA) > (IA) Comunicaciones congresos >

Open Access item 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), Training, 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.
Appears in Collections:(IA) Comunicaciones congresos

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.