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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Veröffentlicht in:	IEEE transactions on neural networks Jg. 10; H. 2; S. 391 - 401
Hauptverfasser:	Bouchard, M., Paillard, B., Chon Tan Le Dinh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.03.1999 Institute of Electrical and Electronics Engineers
Schlagworte:	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
Online-Zugang:	Volltext
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