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改进的灰色GM(1,N)模型在经济中的预测与应用
引用本文:陈绍东.改进的灰色GM(1,N)模型在经济中的预测与应用[J].宜春学院学报,2010,32(4):65-66,155.
作者姓名:陈绍东
作者单位:南阳理工学院,数学系,河南,南阳,473004
基金项目:河南省教育科学"十一五"规划资助项目 
摘    要:论文就修正GM(1,N)预测模型的误差,提出了新方法.使用BP神经网络对预测模型的残差进行预测,得到的残差预测值对所建模型的预测值进行残差修正,以减少因子变量预测误差对行为变量预测的影响.实践表明这些改进模型可以有效地提高GM(1,N)模型的预测精度.

关 键 词:灰色系统理论  GM(1  N)模型  精度

Forecast and Application of Improved Grey GM(1,N) Model in Economy
CHEN Shao-dong.Forecast and Application of Improved Grey GM(1,N) Model in Economy[J].Journal of Yichun University,2010,32(4):65-66,155.
Authors:CHEN Shao-dong
Institution:CHEN Shao-dong(Department of Mathematics Nanyang Institute of Technology,Nanyang 473004 China)
Abstract:The paper revises GM(1,N) forecast model the error,proposed the new method,uses the BP neural network to carry on the forecast for the forecast model residual,obtains the residual predicted value carries on the residual to the modeling predicted value to revise,reduces the factor variable prediction error to the behavior variable forecast influence.The practice indicated that these improvement model may enhance GM(1,N) model effectively the forecast precision.
Keywords:grey  system  theory  GM(1  N) model  precision  
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