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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. |
| URI: | http://hdl.handle.net/10261/7963 |
| ISBN: | 84-87985-07-6 |
| Appears in Collections: | (IA) Comunicaciones congresos
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