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The Classification Mechanism of Adaptive Gauss Neural Networks and Application on Target Classification

  • Yanning Zhang
  • Licheng Jiao
Chapter
  • 185 Downloads
Part of the The International Series on Asian Studies in Computer and Information Science book series (ASIS, volume 6)

Abstract

In this paper, an adaptive Gauss neural network (AGNN) is proposed and used to extract automatically features from noises radiated from three types of ships after Fourier transform preprocessing. The feature extraction mechanism and the classification mechanism of the adaptive Gauss neural network are revealed by mathematical analysis, a local adaptive Gauss neural network is proposed, and an efficient engineering classifier based on the local adaptive Gauss neural network is designed and applied to classify the actual ship noises. The classification experiment results are encouraging, and show that the mathematical analysis of the feature extraction mechanism and the classification mechanism of AGNN is correct, all of which show the method proposed in this paper to be superior.

Keywords

Feature extraction target classification adaptive Gauss neural network 

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Copyright information

© Springer Science+Business Media New York 1999

Authors and Affiliations

  • Yanning Zhang
    • 1
  • Licheng Jiao
    • 1
  1. 1.Key Lab. for radar signal processingXidian UniversityXi’anChina

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