• Electronics Optics & Control
  • Vol. 22, Issue 9, 60 (2015)
GUO Bao, LI Zhong hua, YANG Shou jia, and ZHANG Bing
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2015.09.013 Cite this Article
    GUO Bao, LI Zhong hua, YANG Shou jia, ZHANG Bing. Application of Neural Network in Forecast of Photoelectric Jamming Effect[J]. Electronics Optics & Control, 2015, 22(9): 60 Copy Citation Text show less

    Abstract

    The development status of closed loop electro optic countermeasure technology was introduced.In order to obtain the forecast evaluation of photoelectric jamming effectivenessa forecast evaluation model was built up based on BP neural network by analyzing the technical principle and influence factors of laser jamming to optical seekerand some photoelectric jamming experiments were implemented.After the comparative analysis to forecast result and experiment resultthe accuracy of the prediction model was verified.The research can provide an application foundation for feasibility analysis of this method in photoelectric countermeasure.