Electronics Optics & Control, Volume. 22, Issue 9, 60(2015)
Application of Neural Network in Forecast of Photoelectric Jamming Effect
The development status of closed loop electro optic countermeasure technology was introduced.In order to obtain the forecast evaluation of photoelectric jamming effectivenessa forecast evaluation model was built up based on BP neural network by analyzing the technical principle and influence factors of laser jamming to optical seekerand some photoelectric jamming experiments were implemented.After the comparative analysis to forecast result and experiment resultthe accuracy of the prediction model was verified.The research can provide an application foundation for feasibility analysis of this method in photoelectric countermeasure.
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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
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Received: May. 15, 2014
Accepted: --
Published Online: Oct. 22, 2015
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