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神经网络自适应噪声对消的研究

Study of Neural Networks in the Adaptive Noise Cancellation
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摘要 基于神经网络中自适应线性单元 ( ADAL INE) ,结合传统自适应噪声对消原理 ,提出了一种基于A DALINE的改进型自适应噪声对消器。经仿真和实例证明 。 On the basis of the principle of adaptive linear neuron in the field of neural networks and the theory of the adaptive noise cancellation ,this paper proposes an improved adaptvie noise cancellation controller.which is proved to be more efficient in the noise cancellation and has robust performance.
出处 《基础自动化》 CSCD 2000年第2期1-4,共4页 Basic Automation
关键词 神经网络 自适应线性单元 噪声对消 neural network,adaptive linear neuron,noise cancellation,adaptive spectral line enhancement
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参考文献4

  • 1[1]Bart Kosko (Ed.). Neural Networks for Signal Processing. Prentice Hall, 1992
  • 2[2]Ivo Vondark. Genetic Algorithms and Neural Network Addptation. Neural Network world. 1994,4(2) :211~217
  • 3[3]N. Kalouptsidis and S. Theodoridis (Eds). Adaptive System Identification and Signal Processing Algorithms. Prentice Hall, 1993
  • 4[4]J.M. Zurada. Introduction to Artificial Neural System. West Publishing Company, 1992

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