一种改进的系统效能评估方法及其应用

A Modified Effectiveness Evaluation Method and its Application to Integrated Missile and Antiaircraft Gun Weapon System

首先建立了在可靠性理论基础上的弹炮结合武器系统效能评估模型,并提出了对W SE IAC模型的改进方法。通过建立基于BP神经网络的武器系统作战能力向量的预测模型,克服了原先计算武器系统作战能力向量方法的局限性,提高了对武器系统作战效能评估的准确性和客观性。最后,将其运用到对弹炮结合武器系统效能评估中,仿真结果验证了该方法的可行性和有效性。

In this paper, an effectiveness evaluation model based on the reliability theory for researching on integrated missile and antiaircraft gun weapon System has been set up firstly. A method modifying WSEIAC model is put forward, it can get the prediction result of combat effectiveness for integrated missile and antiaircraft gun weapon system Using BP Neural network. This method can get over the limitations of existing methods to compute combat effectiveness, and improve the veracity and objectivity of effectiveness evaluation for weapon system. Lastly, using modified method to evaluate the effectiveness of integrated missile and antiaircraft gun weapon, the simulation result proves the validity and superiority on the effectiveness evaluation of weapon system.