| 武器装备研制阶段费用预测方法及仿真 |
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| 引用本文： | 金锋,崔卉,张玉平,李庆常.武器装备研制阶段费用预测方法及仿真[J].北京理工大学学报,2006,26(11):991-994. |
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| 作者姓名： | 金锋 崔卉 张玉平 李庆常 |
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| 作者单位： | 北京理工大学,信息科学技术学院自动控制系,北京,100081;北京理工大学,信息科学技术学院自动控制系,北京,100081;北京理工大学,信息科学技术学院自动控制系,北京,100081;北京理工大学,信息科学技术学院自动控制系,北京,100081 |
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| 摘 要： | 提出一种基于小波神经网络的武器装备研制阶段的费用预测方法.建立小波神经网络预测模型,并推导该模型的预测算法.应用一组美军反舰导弹数据进行仿真预测.结果表明,小波神经网络方法比传统BP网络方法平均预测误差减小了1%,收敛速度加快了3倍.
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| 关 键 词： | 武器装备 费用预测 小波神经网络 预测模型 预测算法 |
| 文章编号： | 1001-0645(2006)11-0991-04 |
| 收稿时间： | 2006/3/23 0:00:00 |
| 修稿时间： | 2006年3月23日 |
Forecast and Emulation Research on the Cost of Development for Military Equipment |
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| JIN Feng,CUI Hui,ZHANG Yu-ping and LI Qing-chang.Forecast and Emulation Research on the Cost of Development for Military Equipment[J].Journal of Beijing Institute of Technology(Natural Science Edition),2006,26(11):991-994. |
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| Authors: | JIN Feng CUI Hui ZHANG Yu-ping and LI Qing-chang |
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| Institution: | Department of Automatic Control,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China;Department of Automatic Control,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China;Department of Automatic Control,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China;Department of Automatic Control,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China |
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| Abstract: | A new wavelet neural network-based method of forecasting the cost incurred during the development phase of military equipments is proposed.The model of wavelet neural network is constructed and the algorithm implemented.Economical missile data of the American Army is used to do the forecast.It is shown that,compared with the results from traditional BP neural network,the average error rate is reduced by 1% and the convergence speed raised by 3 times. |
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| Keywords: | military equipments cost forecast wavelet neural network forecasting model forecasting algorithm |
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