The AIC based on the neural network filter

  • Authors:
  • Yunfeng He;Gaoshun Song;Changming Wang;Junsheng Jiao

  • Affiliations:
  • Department of Precise Instrument, Nanjing University of Sci. & Tech., Nanjing, China;Department of Precise Instrument, Nanjing University of Sci. & Tech., Nanjing, China;Department of Precise Instrument, Nanjing University of Sci. & Tech., Nanjing, China;Hangzhou Application Acoustics Graduate School, Hangzhou, China

  • Venue:
  • ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
  • Year:
  • 2011

Quantified Score

Hi-index 0.01

Visualization

Abstract

It is impossible to recognize the direction of the target accurately when strong directional interference appears underwater. The adaptive interference cancellation based on the neural network filter is used to process the signal to solve the problem. In order to improve the calculation precision of the network, stochastic gradient BP algorithms is used to adjust the weights and threshold values. Finally, the simulation and the corresponding conclusion are presented by computer.