电子信息装备维修保障能力的BP神经网络评估

Evaluation based on BP neural network for electronic information equipment maintenance support capability

对电子信息装备维修保障能力进行客观、准确的评估是加强装备维修保障系统建设,提高保障能力的重要依据。创新地将BP神经网络应用到装备维修保障领域,首先建立了电子信息装备维修保障能力评估指标体系,确定了关键要素指标,然后详细设计了电子信息装备维修保障能力评估的BP神经网络模型,并对评估模型的算法流程和数据处理等内容进行研究。通过Matlab仿真软件对结果进行了计算分析表明,BP神经网络具有很强的解决非线性问题的能力,同时消除了因专家差异给评价结果带来的不确定性,适用于电子信息装备维修保障能力评估。

Objective and accurate evaluation of electronic information equipment maintenance support capability is the im-portant basis of strengthening the construction of equipment maintenance support system and improving the ability of support. The BP neural network is creatively applied to the field of equipment maintenance support. An evaluation index system of elec-tronic information equipment maintenance support capability is established. The indexes of key factors are determined. A BP neu-ral network model for assessment of the electronic information equipment maintenance support capability is designed. The algo-rithm flow and data processing of evaluation model are studied. The result is calculated and analyzed with simulation software Matlab. It proves that the BP neural network has a strong ability to solve the problem of complex nonlinearity relation. The method can eliminate the uncertainty of the evaluation results due to the individual difference of experts,and is suitable for analysis and evaluation of the ability of electronic information equipment maintenance support.