AHP-PCA-SVM的高等数学教学质量评价

Higher Mathematics Teaching Quality Evaluation Model Based on AHP-SVM

为提高高等数学教学质量评价精度,提出一种层次分析法、主成分分析和支持向量机的组合高等数学教学质量评价模型(AHP-PCA-SVM)。首先采用层次分析法构建评价指标体,然后采用主成分选择评价指标,最后输入SVM进行学习建立高等数学教学质量评价模型。仿真结果表明,AHP-PCASVM提高了教学质量的评价精度,提高了评价效率。

In order to improve the quality of higher mathematics teaching evaluation accuracy this paper presents a higher mathematics teaching quality evaluation model （AHP-PCA-SVM） based on hierarchical analysis method, principal component analysis and support vector machine. Firstly, the analytic hierarchy process is used to construct the evaluation index system, and then the principal component is used to select evaluation index, lastly, the selected indexes are input SVM to learn and build the higher mathematics teaching quality evaluation model. The simulation results show that AHP-PCA-SVM improves the teaching quality evaluation of precision and improve the evaluation efficiency.