Application of neural networks in active noise reduction systems.
Active noise reduction systems based on a control unit in the form of a finite impulse response filter assume the linearity of every single component. Neural networks, which have so far been seldom used in this field, are a kind of a filter with the ability to project nonlinear characteristics of an active noise reduction system. This paper presents some simulation research studies of active noise reduction systems based on neural networks. Also presented are results of the operation of systems with different levels of complexity as well as the influence of different parameters of a neural network and of the system itself on those results.
Department of Acoustic and Electromagnetic Hazards, Central Institute for Labour Protection-National Research Institute, Warsaw, Poland. lmorzyns@ciop.pl
Leszek
L
Morzyński
Grzegorz
G
Makarewicz
D000465:Algorithms; D008954:Models, Biological; D016571:Neural Networks, Computer; D009623:Noise, Occupational / Q000517:prevention & control*; D017711:Nonlinear Dynamics