摘要
建立了火控雷达抗干扰效能评估体系,给出了评估体系中各个因子的计算方法,克服了输入值与评价结果之间非线性关系复杂的难题。探讨了应用人工神经网络解决火控雷达抗干扰效能评估问题,并且给出了神经网络的评价模型及算法。实例证明该方法是可行的,模型用于火控雷达抗干扰效能评估可较好地克服人为因素的影响,使评估结果更为合理可信。
An evaluation system of the performance of antijamming the calculation method of evaluation system of various factors is present plex nonlinear relationship between input dar antijamming effectiveness is analyzed values and evaluation results. based on BP neural network, of fire control radar is set up, and ted to overcome problems of corn- The evaluation of fire control ra- and the evaluation model and algorithm of neural network are proposed. It has been proved that this method is feasible and the evaluation model for credibility the fire control radar antijamming effectiveness avoids impact of human factors, so that the of evaluation results is more reasonable
出处
《现代防御技术》
北大核心
2010年第1期9-12,共4页
Modern Defence Technology
关键词
火控雷达
神经网络
抗干扰效能评估
fire control radar
neural network
antijamming effectiveness evaluation
