针对飞机抗毁伤能力评估的重要性,为提高评估的速度以及评估的客观性,提出了基于BP神经网络的飞机抗毁伤能力评估方法。从飞机敏感性、易损性、战伤抢修性和作战能力4个方面构建了飞机抗毁伤能力评估指标体系,通过抗毁伤能力评估参数对神经网络进行训练,构建出可对飞机抗毁伤能力进行评估的BP神经网络。通过构建的网络评估模型对专家评估值与网络评估值之间的误差进行分析,验证了基于BP神经网络的飞机抗毁伤能力评估的可行性。

According to the importance of aircraft anti damage capability evaluation, in order to improve the speed and objectivity of the evaluation, the assessment method of the aircraft anti damage ability based on BP neural network was proposed. The index system of aircraft anti damage ability evaluation was constructed from the sensitivity, vulnerability, battle damage repair capability and combat capability. Though training the neural network by using the evaluation parameters of anti damage ability, the BP neural network that could evaluate the aircraft anti damage ability was built. By building a network model to analyze the error between the expert evaluation value and the network evaluation value, the feasibility of the assessment of aircraft anti damage ability based on BP neural network was proved.