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Artificial neural network algorithms for active noise control applications

Fernández, A. y Cobo, P
Acta Acustica united with ACUSTICA, 88, S42
http://digital.csic.es/handle/10261/7963

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.

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