基于信息融合和CS-SVM的学生综合能力评估方法的研究

A Study on the Evaluation Method of Students' Comprehensive Ability Based on Information Fusion and CS-SVM

当代社会学生综合能力的好坏直接影响学生未来的发展,然而目前对学生综合能力评估仍旧存在一定的困难,针对这种情况提出了一种基于信息融合和CS-SVM(布谷鸟优化的支持向量机)的学生综合能力评估方法。该方法首先将学生综合素质相关的数据融合成SVM的输入样本数据,然后再将此数据通过训练好的CS-SVM进行综合评估。MATLAB仿真结果表明该预测结果与实际结果误差很小,能够在一定程度上评判出学生的综合能力。

The stand or fall of contemporary social students' comprehensive ability directly affect the future development of the students. However,contemporary society to the students' comprehensive ability evaluation still exist certain difficulties. For this kind of situation,a comprehensive assessment method for students based on information fusion and cs-svm(support vector machine for cuckoo optimization) was proposed. The students' comprehensive quality-related data areintegrated into the input sample data of SVMfirstly,and then the data through the trained CS-SVM are evaluated. The MATLAB simulation results show that the predicted results and actual results error is very small to a certain extent,so it can judge the students' comprehensive ability.