| 基于BP网络的机载导弹备件需求量预测 |
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| 引用本文： | 李涵,周东君,张锋.基于BP网络的机载导弹备件需求量预测[J].海军航空工程学院学报,2010,25(4):457-461. |
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| 作者姓名： | 李涵 周东君 张锋 |
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| 作者单位： | 1. 海军驻航天三院军事代表室,北京,100074
2. 91880部队,山东,胶州,266405 |
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| 摘 要： | 针对机载导弹部署后期与备件有关的各项保障数据比较充足的情况,在进行备件需求量影响因素分析和量化的基础上,应用BP神经网络模型对其进行了预测。仿真结果表明,充分利用了各有用数据,能有效提高预测的可靠性和准确性。
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| 关 键 词： | 机载导弹备件 BP神经网络 需求量预测 |
Demand Forecast for Air-Launched Missile Spare Based on BP Neural Network |
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| LI Han,ZHOU Dong-jun and ZHANG Feng.Demand Forecast for Air-Launched Missile Spare Based on BP Neural Network[J].Journal of Naval Aeronautical Engineering Institute,2010,25(4):457-461. |
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| Authors: | LI Han ZHOU Dong-jun and ZHANG Feng |
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| Institution: | 1.Military Representatives Office of Navy in №3 Research Institute of Astronautical Science and Technology Group,Beijing,100074,China; 2.The 91880th Unit of PLA,Jiaozhou Shandong 266405,China) |
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| Abstract: | For circumstance that support information about air-launched missile spare being fairly comprehensive at the evening of missile deployment, after analyzing and quantizing influencing factor of spare demand, BP-NN forecast model was used for the prediction. It is shown that BP neural network model make use of various data and can effectively improve reliability and accuracy of forecasting. |
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| Keywords: | air-launched missile spare BP-NN demand forecast |
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