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动态神经网络方法在车内噪声参考信号拾取上的应用
引用本文:刘学广,王登峰,常振臣,张建南,薛殿伦.动态神经网络方法在车内噪声参考信号拾取上的应用[J].河北工业科技,2004,21(3):4-8.
作者姓名:刘学广  王登峰  常振臣  张建南  薛殿伦
作者单位:1. 吉林大学汽车学院,吉林长春,130025
2. 河北天同集团,河北石家庄,050041
基金项目:教育部"优秀青年教师资助计划"项目(350)
摘    要:推导了用于实时控制的动态神经网络数值方法,并应用该方法通过测量关键点的振动加速度信号来识别车内噪声信号,该法既避免了传统自适应有源消声中的声反馈问题,又具有实时性。实验研究表明,由于动态网络具有良好的实时跟踪特性,即使在工况发生改变时,网络也可在短时间内迅速完成跟踪。

关 键 词:车内噪声  动态神经网络  有源消声  识别
文章编号:1008-1534(2004)03-0004-05
修稿时间:2003年9月4日

The Application of Dynamic Neural Network Method in Identification of Interior Noise of Vehicle
LIU Xue-guang,WANG Deng-feng,CHANG Zhen-chen,ZHANG Jian-nan,XUE Dian-lun.The Application of Dynamic Neural Network Method in Identification of Interior Noise of Vehicle[J].Hebei Journal of Industrial Science & Technology,2004,21(3):4-8.
Authors:LIU Xue-guang  WANG Deng-feng  CHANG Zhen-chen  ZHANG Jian-nan  XUE Dian-lun
Institution:LIU Xue-guang~1,WANG Deng-feng~1,CHANG Zhen-chen~1,ZHANG Jian-nan~2,XUE Dian-lun~1
Abstract:Presents a neural network dynamic identification method of interior noise of vehicle.By using the method of dynamic neural network,the identification of interior noise signal could be converted into corresponding detection of acceleration signal,thus avoiding the problem of sound feedback in the traditional self-adaptive active noise control.The experiment shows that even if the corresponding condition changes,the network still can accomplish track in a short time because the dynamic network possesses the feature of excellent real time track.
Keywords:interior noise of vehicle  dynamic neural network  active noise control  identification
本文献已被 CNKI 维普 万方数据 等数据库收录!
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