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证据理论和支持向量机相融合的高校教学质量评价

刘智萍

现代电子技术2017,Vol.40Issue(17):175-178,4.
现代电子技术2017,Vol.40Issue(17):175-178,4.DOI:10.16652/j.issn.1004-373x.2017.17.045

证据理论和支持向量机相融合的高校教学质量评价

College teaching quality evaluation based on evidence theory and support vector machine

刘智萍1

作者信息

  • 1. 江西科技学院 信息工程学院,江西 南昌 330098
  • 折叠

摘要

Abstract

In order to improve the accuracy and reliability of college teaching quality evaluation,a college teaching quality evaluation model based on DS evidence theory and support vector machine(DS-SVM)is put forward. The index of college teach-ing quality evaluation was established. The sample of college teaching quality evaluation is collected. The evaluation effects of ex-perts,colleagues and students were evaluated,and fused effectively with evidence theory to obtain the final result of college teaching quality evaluation. The experimental results show that the model can obtain high-accurate evaluation results of college teaching quality,its evaluation result is more reliable than that of the contrast model,and can be applied to the reformation of college teaching quality evaluation.

关键词

高等教育/教学质量/证据理论/支持向量机

Key words

higher education/teaching quality/evidence theory/support vector machine

分类

信息技术与安全科学

引用本文复制引用

刘智萍..证据理论和支持向量机相融合的高校教学质量评价[J].现代电子技术,2017,40(17):175-178,4.

基金项目

江西省高等学校教学改革研究省级课题(JXJG-16-19-08) (JXJG-16-19-08)

现代电子技术

OA北大核心CSTPCD

1004-373X

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