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《Mathematics in Practice and Theory》 2013-16
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Application of Residual Error Gray Forecast Model on Prediction of Aging Development Trend in China

ZHANG Rong-yan;MA Yan-qin;HAO Shu-shuang;Department of Electronic Engineering,Huang He Science and Technology College;  
On the basis of gray model,GM(1,1) model and the residual error gray prediction model are presented in this paper.Through comparative and analysis,the results show that the residual error gray forecast model is featured with high precision degree.So,china aging development trend in 2012-2020 was predicted by using the residual error gray prediction model,so as to provide scientific theory foundation for the formulation of our government related policy.
【Fund】: 黄河科技学院基金项目(KYZR201115);; 郑州市科技局基金项目(20120412)
【CateGory Index】: C924.2;N941.5
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