Grey Interval Prediction of Regional Scientific and Technological Human Resource Input Based on GM(1,1)

被引：0

作者：

Shen Chunguang ^{[1
]}

Yu Libo ^{[1
]}

Wei Yaguang ^{[1
]}

机构：

[1] Xuchang Univ, Sch Law & Polit Sci, Xuchang 461000, Peoples R China

来源：

2010 ETP/IITA CONFERENCE ON SYSTEM SCIENCE AND SIMULATION IN ENGINEERING (SSSE 2010) | 2010年

关键词：

scientific and technical talents; GM(1,1) model; development band; interval prediction;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An accurate prediction of sci-tech human resources input is the premise and foundation of the Government's sci-tech decision-making. Since a lot of intricate and complicated factors can affect the regional net supply of sci-tech talents, and there is less statistical data of the sci-tech innovation talents, it is difficult to extract some statistical laws. This paper proposes a method to make interval prediction on the sci-tech human resources input by means of GM (1,1) model, and then has a simulation and prediction on the sci-tech human resource input of Jiangsu Province by using the above method. The result shows that, the model can simulate and predict the sci-tech human resource input of Jiangsu Province well.

引用

页码：267 / 270

页数：4

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