基于BP神经网络的空中目标威胁排序

Threat Sequencing for Aerial Target Based on BP Neural Network

研究了BP神经网络算法对空中目标进行威胁排序的方法。水面舰艇对空防御作战中 ,舰载平台多传感器系统获得空中目标属性信息不完全 ,利用BP神经网络建立目标各属性权值的分配模型 ,通过大量的实例对模型进行训练 ,可以使所获得的空中目标属性信息得到充分利用 。

Threat sequencing for aerial target based on BP neural network is researched in this paper. The surface warships only can get part attributes of aerial target in air defense. Using BP neural network to train abundant examples could get the threat sequencing for aerial target which is tallied with the war field.