【摘要】 通过对目标高度、距离、速度、角度这些空间态势因素和空战能力因素的分析,建立了目标威胁评估模型,提出了基于PSO-BP(粒子群和后向传播)算法的目标威胁程度评估方法。通过对空中八个目标某一时刻威胁程度的预测,并将结果与多数属性决策方法的结果进行了比较,表明此方法有效地解决了空战目标威胁评估问题,大大提高了决策的客观性。更多还原

【Abstract】 This paper established a target thread model based on the factors of space situation and air combat capacity of targets,such as altitude,distance,speed and angle,and proposed a target threat level assessment method based on PSO(particle swarm optimization) and BP(back-propagation) algorithm to estimate the threat level of aerial targets.Through predicting threat level of 8 aerial targets,the result shows that this method is effective to solve the problem of air threat assessment target,greatly improving the objectivity of decision-making.更多还原