摘要
提升学校科研水平关键在于全面评价教师科研能力。文章分析了应用型高校科研评价存在的问题,构建了基于专家评价应用型高校教师科研能力评价模型,采用支持向量机(SVM)来模拟同行专家评价;提出了一种广义混合高斯核函数(GFMG)用于提高SVM模型识别率。通过南京某应用型高校实证分析,混合高斯核函数能够提高正确识别率达95.79%,模型能够有效评价应用型教师科研能力。
The key to improving the level of scientific research is to comprehensively evaluate teachers’scientific research ability.This paper analyzes the problems existing in the evaluation of applied university scientific research,constructs an evaluation model of Applied University teachers’scientific research ability based on expert evaluation,uses support vector machine(SVM)to simulate peer expert evaluation,and proposes a generalized Gaussian mixture kernel function(GFMG)to improve the recognition rate of SVM model.Through the empirical analysis of an applied university in Nanjing,the Mixed Gaussian Kernel Function can improve the correct recognition rate by 95.79%,and the model can effectively evaluate the scientific research ability of applied teachers.
作者
包永强
汪木兰
梁瑞宇
王青云
宋宇飞
朱昊
BAO Yongqiang;WANG Mulan;LIANG Ruiyu;WANG Qingyun;SONG Yufei;ZHU Hao(School of Communication Engineering,Nanjing Institute of Technology,Nanjing 211167,China;Dept of Science,Technology and Industries,Nanjing Institute of Technology,Nanjing 211167,China)
出处
《电子器件》
CAS
北大核心
2019年第5期1081-1084,共4页
Chinese Journal of Electron Devices
基金
江苏省教育科学十三五规划重点资助课题项目(B-a/2016/01/44)
关键词
高校科研管理
教师科研能力评价
GFMG-SVM
高斯核函数
scientific research management in college
evaluation of teachers’scientific research ability
GFMG-SVM
Gaussian kernel function
