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基于灰色神经网络武器装备研制费用预测模型
引用本文:韩晓明,姜科,张琳,何婧卿. 基于灰色神经网络武器装备研制费用预测模型[J]. 现代防御技术, 2011, 39(4). DOI: 10.3969/j.issn.1009-086x.2011.04.037
作者姓名:韩晓明  姜科  张琳  何婧卿
作者单位:空军工程大学导弹学院,陕西三原,713800
基金项目:国家自然科学基金(60736009); 航空基金(20090196005)
摘    要:提出了基于灰色系统理论与神经网络的武器装备研制费用组合预测模型,该模型首先采用灰色GM(0,N)模型对研制费用进行预测,利用LMBP神经网络对预测误差进行了模拟与修正,实例验证该方法具有较高的预测精度.

关 键 词:武器装备  研制费用  灰色GM(0,N)模型  LMBP神经网络  预测

Forecast Model of Development Cost for Weapon Equipment Based on Grey Systems Theory and Neural Network
HAN Xiao-ming,JIANG Ke,ZHANG Lin,HE Jing-qing. Forecast Model of Development Cost for Weapon Equipment Based on Grey Systems Theory and Neural Network[J]. Modern Defence Technology, 2011, 39(4). DOI: 10.3969/j.issn.1009-086x.2011.04.037
Authors:HAN Xiao-ming  JIANG Ke  ZHANG Lin  HE Jing-qing
Affiliation:HAN Xiao-ming,JIANG Ke,ZHANG Lin,HE Jing-qing(AFEU,Missile Institute,Shaanxi Sanyuan 713800,China)
Abstract:The forecast model of development cost for weapon equipment is established based on grey systems theory and neural network.Firstly,the development cost is estimated by making use of GM(0,N) model,Secondly,the error of the estimating result is simulated and compensated by LMBP ANN mode.Finally,the forecasting has been validated higher precision by an example.
Keywords:weapon and equipment  development cost  grey GM(0  N) mode  levenberg-marquardt back propagation(LMBP)neural network  prediction  
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