Non-equigap Stage Sequence GM(1,1,α) Model and its Application

被引：0

作者：

Liao Lijun ^{[1
]}

Gao Mingyun ^{[1
]}

机构：

[1] Wuhan Univ Technol, Dept Stat, Wuhan 430070, Peoples R China

来源：

PROCEEDINGS OF THE 2013 THE INTERNATIONAL CONFERENCE ON EDUCATION TECHNOLOGY AND INFORMATION SYSTEM (ICETIS 2013) | 2013年 / 65卷

关键词：

Non-equigap; grey model; GM(1,1);

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

To predict the number of newborns, we establish an non-equigap stage sequence GM (1,1) model. Above all, we construct a non-equigap cumulative operator and calculate the optimal multiplier. Then we use the genetic algorithms to solve the model. On this basis, we improve it and obtain the GM(1,1,alpha)model. We make a contrast of the predicted number of newborns in two models above and the data in the traditional GM(1,1) model.

引用

页码：6 / 9

页数：4