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基于灰色系统与神经网络的航材消耗广义加权函数平均组合预测模型研究
引用本文:万玉成,何亚群,盛昭瀚.基于灰色系统与神经网络的航材消耗广义加权函数平均组合预测模型研究[J].系统工程理论与实践,2003,23(7):80-87.
作者姓名:万玉成  何亚群  盛昭瀚
作者单位:(1)东南大学经济管理学院 江苏南京210096,(2)空军后勤学院三系,江苏徐州221002;(3)南京大学管理科学与工程研究院 江苏南京210093
摘    要:建立了航材消耗的灰色系统预测模型与神经网络预测模型,同时给出了一种新的具有广泛代表性的组合预测模型--广义加权函数平均组合预测模型及其加权系数的参数估计方法,并利用此方法建立了基于灰色系统与神经网络的航材消耗广义加权函数平均组合预测模型,最后以实例说明了其预测效果。

关 键 词:航材消耗  灰色系统  神经网络  组合预测  广义加权函数平均      
文章编号:1000-6788(2003)07-0080-08
修稿时间:2002年4月19日

Research on Generalized Weighted Functional Mean Combining Forecasting Model of Air Material Consumption Based on Grey System and Neural Network
WAN Yu-cheng{,},HE Ya-qun,SHENG Zhao-han.Research on Generalized Weighted Functional Mean Combining Forecasting Model of Air Material Consumption Based on Grey System and Neural Network[J].Systems Engineering —Theory & Practice,2003,23(7):80-87.
Authors:WAN Yu-cheng{  }  HE Ya-qun  SHENG Zhao-han
Institution:(1)School of Economics and Management,Southeast University,Nanjing 210096,China; (2)No. 3 Department,Air Force Logistics College,Xuzhou 221002,China;(3)Graduate School of Management Science and Enginee
Abstract:For the air material consumption has the seasonal and fluctuating characteristic, its grey system forecasting model and neural network forecasting model are proposed in this paper. Simultaneously, a new kind of combining forecasting model based on the generalized weighted functional mean is presented and the parameter estimation methods of its weighting coefficients are given. This model has extensive representation. In final, a generalized weighted functional mean combining forecasting model of air material consumption based on grey system and neural network is proposed and its efficiency is demonstrated by an example.
Keywords:air material consumption  grey system  neural network  combining forecasting  generalized weighted functional mean
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