Threat sequencing for aerial target based on BP neural network is researched in this paper.

研究了BP神经网络算法对空中目标进行威胁排序的方法。

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Threat evaluating and sequencing of the air attack targets is one of its key links when we command in air defense battle.

在防空作战指挥决策过程中，空袭目标的威胁程度评估与排序是其关键环节之一。

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Simulation results show that the maximum membership degree method is simple and can effectively implement threat level sequencing of the targets in multi-aircraft, multi-target cooperative air combat.

仿真结果表明，最大隶属度方法简单易于实现，能有效解决多机多目标协同空战中的目标威胁排序问题。

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Simulation results show that the maximum membership degree method is simple and can effectively implement threat level sequencing of the targets in multi-aircraft, multi-target cooperative air combat.

仿真结果表明，最大隶属度方法简单易于实现，能有效解决多机多目标协同空战中的目标威胁排序问题。

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