摘要
文中针对反辐射导弹(ARM)的攻击特点,建立了反辐射导弹武器系统作战效能评估指标体系,简要分析了指标选取的理由。然后,采用专家打分的方法取得了几组训练样本,并对所构造的BP神经网络进行训练,当训练精度达到要求后,再运用BP神经网络对几种典型的反辐射导弹武器系统作战效能进行了评估。
Aiming at the characteristic of the ARM attacking, this paper establishes the index system for evaluating the operational effectiveness of ARM weapon system. The reasons for selecting the indexes are analyzed briefly. Then with Delphi method, several groups of training samples are chosen to train the BP neural networks. When the training precision reaches the requirement, the BP neural networks are applied to evaluate the operation effectiveness of some typical ARM weapon system.
出处
《弹箭与制导学报》
CSCD
北大核心
2006年第3期315-317,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
反辐射武器系统
作战效能
BP神经网络
ARM weapon system
operational effectiveness
BP neural networks
