摘要
在对装备使用维修费用分析的基础上,利用神经网络理论,建立了时间序列对象的反向传播(back-propagation,BP)预测模型,并应用于装备使用维修费用的预测研究,并通过对某型装备使用维修费用的预测分析,证实了本模型的科学性与正确性.
Based on the analysis of equipment maintenance cost and applying BP neural network theory, a forecast model of time sequence object is established, and then the forecast of equipment maintenance cost is studied. Applying this method to the certain equipment, the science and correctness of this model has been confirmed.
出处
《装备指挥技术学院学报》
2005年第4期46-48,共3页
Journal of the Academy of Equipment Command & Technology
关键词
BP神经网络
装备使用维修费用
预测
时间序列
back propagation neural network
equipment maintenance cost
forecasting
time sequence
