Research on the Neural Network Information Fusion Technology for Distinguishing Chemical Agents

  • Minghu Zhang
  • Dehu Wang
  • Lv Shijun
  • Jian Song
  • Yi Huang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 98)

Abstract

For implementing effectively detection and rapid exact identification for the chemical agents in sea-battlefield, firstly, the conception, treatment model and system structure of the information fusion, are introduced; secondly, the neural network(NN) information fusion system model are built by the multi-sensors information fusion (MSIF) technology; At the same time, connecting the wavelet analysis with the NN organically, and based on the wavelet transfer and the NN, the system of the speedy features extraction and identification for chemical agents -the NN Distinguishing Chemical Agents (NNDCA) system- is founded. The model of the NNDCA and the method of the feature extraction for the chemical agents based on the wavelet analysis are established, and the hardware accomplishment and the software structure of the NNDCA system are put forward; lastly, the experimental and simulated results show: it is feasible that the analyses for the chemical agents with the NNDCA system based on the MSIF technology and the wavelet analysis. The method can remarkably heighten the accuracy and credibility of the measurement results, and the results are of repeatability.

Keywords

Information fusion hiberarchy and architecture NN information fusion system system establishment and realization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Minghu Zhang
    • 1
  • Dehu Wang
    • 1
  • Lv Shijun
    • 1
  • Jian Song
    • 2
  • Yi Huang
    • 1
  1. 1.Dept. of Shipboard WeaponryDalian Naval AcademyDalianChina
  2. 2.Arms Tactics Research CenterNaval Arms Command AcademyGuangzhouChina

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