Adaptive recurrent fuzzy neural networks for active noise control

2006 ◽  
Vol 296 (4-5) ◽  
pp. 935-948 ◽  
Author(s):  
Qi-Zhi Zhang ◽  
Woon-Seng Gan ◽  
Ya-li Zhou
Keyword(s):  
Neural Networks ◽  
Noise Control ◽  
Active Noise Control ◽  
Fuzzy Neural Networks ◽  
Active Noise ◽  
Fuzzy Neural

Model-based active noise control using neural networks

2001 ◽  
Author(s):  
J. M. Concinnila ◽  
J. M. Sousa ◽  
M. Ayala Botto ◽  
J. Sa da Costa
Keyword(s):  
Neural Networks ◽  
Noise Control ◽  
Active Noise Control ◽  
Model Based ◽  
Active Noise

Active Noise Control Using Multi-Layered Perceptron Neural Networks

1997 ◽  
Vol 16 (2) ◽  
pp. 109-144 ◽  
Author(s):  
M.O. Tokhi ◽  
R. Wood
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Architecture ◽  
Noise Control ◽  
Learning Algorithm ◽  
Free Field ◽  
Active Noise Control ◽  
Three Dimensional ◽  
Broadband Noise ◽  
Active Noise

This paper presents the development of a neuro-adaptive active noise control (ANC) system. Multi-layered perceptron neural networks with a backpropagation learning algorithm are considered in both the modelling and control contexts. The capabilities of the neural network in modelling dynamical systems are investigated. A feedforward ANC structure is considered for optimum cancellation of broadband noise in a three-dimensional propagation medium. An on-line adaptation and training mechanism allowing a neural network architecture to characterise the optimal controller within the ANC system is developed. The neuro-adaptive ANC algorithm thus developed is implemented within a free-field environment and simulation results verifying its performance are presented and discussed.

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