基于神经网络的地空导弹武器系统作战能力评估

Evaluation of Operational Capability for Surface-to-Air Missile Weapon System Based on Neural Network

根据地空导弹武器系统的作战使用特点,分析了评估其作战能力方法的局限性。根据指标体系设置的原则,建立了地空导弹武器系统作战能力评价指标体系。通过分析人工神经网络的结构和特点,设计了评估地空导弹武器系统作战能力的神经网络模型。该模型不需要确定各因素之间严格的定量关系,克服了以往由于人为因素所造成的负面影响。最后通过实际应用,说明该方法简便易行,准确可靠。

The limitations of evaluation method of operational capability for surface-to-air missile weapon system are analyzed in the light of the characteristics of its operational use in this paper.The index system for evaluating the operational capability of surface-to-air weapon system according to the principle of setting the index system.Through analysis of the structure and characteristics of artificial neural network,the neural network model used to evaluate the operational capability of surface-to-air missile weapon system.This model needs not to determine the strict quantitative relations between different factors,overcome the negative influences of man-made factors.