Taking an improvement on the efficiency of aerial combat training evaluation as a target,and staring at the key nodes of influence on trend of combat outcomes,this paper proposes a method for deter-mining aerial combat key nodes based on win rate prediction.Firstly,the long short-term memory net-works are utilized for designing and training a win rate prediction model for real-time assessment of aerial combat situations.Secondly,the OTSU's method is utilized for determining the threshold for key nodes,and the time steps with absolute win rate difference between adjacent steps of being greater than the threshold are identified as key nodes.The experiments show that the win rates are accurate in prediction by the designed win rate prediction model,the adopted key node threshold selection method is reasonable,and the overall proposed method is feasible and has a good generality.
关键词
空战/胜率预测/关键节点/长短期记忆网络/最大类间方差法
Key words
air combat/winning rate prediction/key nodes/long short-term memory
维普
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