Research on Forecasting Demand of Science and Technology Talents in Guangxi Based on Grey Prediction Model

被引：0

作者：

Wei, Feng ^{[1
]}

Wang, Yaqi ^{[1
]}

机构：

[1] Guangxi Univ Sci & Technol, Sch Econ & Management, Liuzhou 545006, Peoples R China

来源：

PROCEEDINGS OF THE 2019 4TH INTERNATIONAL CONFERENCE ON FINANCIAL INNOVATION AND ECONOMIC DEVELOPMENT (ICFIED 2019) | 2019年 / 76卷

关键词：

GM(1,1) modeled; grey system prediction; scientific and technological talent; demand forecast;

D O I：

暂无

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

Scientific and technological talents play a leading and supporting role in the economic transformation and development. The prediction of scientific and technological talents is the scientific basis of formulating correct talent policies. In this paper, the gray GM (1,1) model is used to analyze the number of scientific and technological talents for Guangxi over the years, and the GM (1,1) prediction model is established. The results of statistical test and error analysis show that the model has high precision, and the model are used to predict the future ten years of Guangxi Science and Technology. The number of talents.

引用

页码：309 / 314

页数：6