Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK)

Guangzhou,China,11.26-11.27,2009

ISBN: 978-1-935068-10-5 Scientific Research Publishing, USA

E-Book 604pp Pub. Date: March 2010

Category: Computer Science & Communications

Price: $80

Title: Modeling and Experiment of an Active Noise Control Based on the Radial Basis Function Neural Network
Source: Proceedings of Annual Conference of China Institute of Communications (CIC 2009 E-BOOK) (pp 333-336)
Author(s): Lifei Jiang, Tangshan Teacher’s College, Tangshan city, Hebei province, China, 063000
Abstract: Now in an active noise control system the adaptive controller is based on the linear theory; however the research shows that the characteristics of practical noises are more nonlinear. In order to trace the timing-varying noise, an active noise control model based on the radial basis function neural network is proposed. Experimental study shows that as a local and whole conjunction neural network the radial basis function neural network can be trained very quickly, and can overcome the shortcomings of local minimum pole in BP networks. Experimental results prove that the model is feasible and effective and the average effect of cancelling noise is up to 10dB in the frequency range from 100–490Hz.
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