BP神经网络在导弹试验干扰效果评估中的应用

Application of BP Neural Networkin Evaluating Interfering Impact in the Missle Test

导弹试验时,为了考核导弹的抗干扰性能,须要构建复杂的电磁环境。在分析复杂电磁环境影响导弹作战性能的干扰因素基础上,建立了干扰效果评估的BP神经网络模型,通过试验数据样本进行学习训练。利用训练好的模型对干扰效果进行检验评估,结果表明:基于BP神经网络的干扰效果评估模型具有一定实用性和可行性,可以对一定场景下的干扰效果作出快捷准确客观评价。

To examine the missile＇ s anti-interfere capability in the missle test, it is need to construct complex electromag- netic environment. Based on analysis of the interfering factors of complex electromagnetic environment to the missle cam- paign performance, a BP neural network model for evaluating electromagnetic interfere impact was established, and the process of sample construction and training was described. Experimental results proved that the method was effective for evaluating the interfering impact.