Improved training of neural networks for the nonlinear active control of sound and vibration

Active control of sound and vibration has been the subject of a lot of research, and examples of applications are now numerous. However, few practical implementations of nonlinear active controllers have been realized. Nonlinear active controllers may be required in cases where the actuators used in...

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Vydané v:	IEEE transactions on neural networks Ročník 10; číslo 2; s. 391 - 401
Hlavní autori:	Bouchard, M., Paillard, B., Chon Tan Le Dinh
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.03.1999 Institute of Electrical and Electronics Engineers
Predmet:	Acoustic sensors Active control Actuators Algorithms Applied sciences Backpropagation algorithms Control systems Controllers Ducts Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Interference Neural networks Nonlinear control systems Nonlinearity Sensor systems Sound Training Vibration control Backpropagation Least squares problem Non linear control Vibration control Neural network Sound source Learning algorithm Recursive algorithm Active control
ISSN:	1045-9227
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