引用本文:赵岚, 王海波.RBF模型在高等教育和经济发展关系分析中的应用[J].西南师范大学学报(自然科学版),2019,44(7):117~120
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RBF模型在高等教育和经济发展关系分析中的应用
赵岚, 王海波
华东交通大学 理工学院, 南昌 330013
摘要:
采用RBF (径向基神经网络)模型,对高等教育和经济发展之间的关系进行实证研究.在研究过程中,以本科生招考数量、研究生招考数量、高等教育投入经费作为RBF网络的输入,以GDP总量作为RBF网络的输出,以2000-2017年的相关数据为实证研究的基础数据.实证分析结果显示,高等教育对于我国经济发展存在明显的促进作用,其中本科生招考数量的促进作用为0.23,研究生招考数量的促进作用为0.45,高等教育投入经费的促进作用为0.32.
关键词:  高等教育  经济发展  RBF网络  实证分析
DOI:10.13718/j.cnki.xsxb.2019.07.018
分类号:G640
基金项目:2018年江西省教育科学“十三五”规划课题立项(18YB403).
Application of RBF Model in Analysis of Relationship between Higher Education and Economic Development
ZHAO Lan, WANG Hai-bo
Engineering College, East China Jiaotong University, Nanchang 330013, China
Abstract:
The level of economic development of a country depends on the level and quantity of its talents. Therefore, there is a close relationship between higher education and economic development through personnel training. In this paper, RBF radial basis function network has been used to study the relationship between higher education and economic development. In the research process, the number of undergraduate enrollment, postgraduate enrollment and higher education investment are taken as the input of RBF network, the total GDP as the output of RBF network, and the relevant data from 2000 to 2017 are taken as the basic data for empirical research. The results of empirical analysis show that higher education plays an important role in promoting China's economic development. Among them, the number of undergraduate students enrollment is 0.13, the number of postgraduate students enrollment is 0.25 and the investment in higher education is 0.22.
Key words:  higher education  economic development  RBF network  empirical analysis
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