Electronics Optics & Control, Volume. 22, Issue 9, 60(2015)

Application of Neural Network in Forecast of Photoelectric Jamming Effect

GUO Bao, LI Zhong-hua, YANG Shou-jia, and ZHANG Bing
Author Affiliations
  • [in Chinese]
  • show less

    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.

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: May. 15, 2014

    Accepted: --

    Published Online: Jan. 28, 2021

    The Author Email:

    DOI:10. 3969/j. issn. 1671 一637x. 2015.09.013

    Topics