The Adaptive Noise Cancellation (ANC) system is an important problem in the field of the disposal of digital signal. The Neural Network has shown its promising application future in optimization design.
The paper analyzes the Multilayer Forward Artificial Neural Networks that based on the Back Propagation Algorithms and Traditional ANC theory. We set up a three layers BP Networks ANC system after researching the Neural Networks ANC System. The theory of Neural Networks adaptive is used to this new ANC System, which has the function of the adaptive nonlinear processing, and has the perfect characteristic of remedy and robust, even has better convergence characteristic than the Traditional Noise Cancellation System.
Finally, the BP Neural Networks Adaptive Noise Cancellation System is proved to be more efficient in the noise cancellation based on SIMULINK of MATLAB.