典型文献
The SSA-BP-based potential threat prediction for aerial target considering commander emotion
文献摘要：
The target's threat prediction is an essential procedure for the situation analysis in an aerial defense system.However,the traditional threat prediction methods mostly ignore the effect of commander's emotion.They only predict a target's present threat from the target's features itself,which leads to their poor ability in a complex situation.To aerial targets,this paper proposes a method for its potential threat prediction considering commander emotion(PTP-CE)that uses the Bi-directional LSTM(BiLSTM)network and the backpropagation neural network(BP)optimized by the sparrow search algorithm(SSA).Furthermore,we use the BiLSTM to predict the target's future state from real-time series data,and then adopt the SSA-BP to combine the target's state with the commander's emotion to establish a threat prediction model.Therefore,the target's potential threat level can be obtained by this threat prediction model from the predicted future state and the recognized emotion.The experimental results show that the PTP-CE is efficient for aerial target's state prediction and threat prediction,regardless of commander's emotional effect.
文献关键词：
中图分类号：
作者姓名：
Xun Wang;Jin Liu;Tao Hou;Chao Pan
作者机构：
College of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan,430081,China;Beijing Xin Li Machinery Limited Liability Company,Beijing,100039,China;School of Information and Communication Engineering,Hubei University of Economics,Wuhan,430205,China
文献出处：
引用格式：
[1]Xun Wang;Jin Liu;Tao Hou;Chao Pan-.The SSA-BP-based potential threat prediction for aerial target considering commander emotion)[J].防务技术,2022(11):2097-2106
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B类：
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AB值：
0.44528
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