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《Transactions of Beijing Institute of Technology》 2006-11
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Forecast and Emulation Research on the Cost of Development for Military Equipment

JIN Feng,CUI Hui,ZHANG Yu-ping,LI Qing-chang(Department of Automatic Control,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China)  
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.
【Fund】: 国家部委预研项目(42001020404)
【CateGory Index】: E92
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