The Design of Adaptive Noise Control System Based on Neural Network

Abstract:

The present work investigated the adaptive noise control system based on neural network. The structure and the characteristics of ANC algorithm were introduced in detail, at the same time, and the detailed demonstration of the BP neural network was given. Contrast verification experiments were given through the Matlab, and the simulation results have verified the effectiveness and practicability of the algorithm for the adaptive noise system in real control system. Through these methods, the disturbance of various noises in input signal could be reduced effectively.

• Periodical: Applied Mechanics and Materials (Volume 203)
• Pages: 236-239
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.203.236
• Online since: October 2012
• Authors: Lu Jun Cui, Hui Chao Shang, Gang Zhang, Yong Li, Ze Xiang Zhao
• Keywords: Adaptive Noise Control, Neural Network (NN), Simulink Simulation

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