节点文献
基于PCA-SVM的高职院校专业评估体系研究
Study on the Course Assessment in Higher Vocational Colleges Based on PCA-SVM
【摘要】 引入主成分分析(PCA)和支持向量机(SVM)技术,构建高职院校专业评估体系。该体系有利于专业建设成效分析与质量评价,其中包括9个一级指标和23个二级指标。应用Libsvm软件进行专业等级特征模型训练与测试实验,验证了该体系的合理性。
【Abstract】 The technology of principal component analysis(PCA) and support vector machine(SVM) is introduced to construct the course evaluation system of higher vocational colleges.The system is conducive to the effectiveness analysis and quality evaluation of course construction, including 9 primary indicators and 23 secondary indicators.With the help of Libsvm software, the course grade feature model is trained and tested, and the rationality of the system is verified.
【关键词】 专业建设;
专业评估;
主成分分析;
支持向量机;
【Key words】 course construction; course assessment; principal component analysis; support vector machine;
【Key words】 course construction; course assessment; principal component analysis; support vector machine;
【基金】 安徽省教育厅重大教研项目“现代学徒制培养滁州制造业技能人才的实践与研究”(2018JYXM0833)
- 【文献出处】 重庆科技学院学报(自然科学版) ,Journal of Chongqing University of Science and Technology(Natural Sciences Edition) , 编辑部邮箱 ,2021年06期
- 【分类号】TP181;G712.3
- 【被引频次】1
- 【下载频次】151