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基于共生生物搜索算法优化SVM的学生德育综合评价

Comprehensive Evaluation of Moral Education of College Students Based on Symbiotic Organisms Search Algorithm
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摘要 为了确切地综合评价大学生德育,从政治素养、思想素质、社会公德、法纪素质和身心素质等5个维度构造大学生德育综合评价指标体系。通过专家打分法获取30个二级指标的评价得分,将大学生德育综合评价等级分为优秀、良好、中等和较差4个等级。将30个二级评价指标得分和大学生德育综合评价等级分别作为SOS-SVM的输入和输出,建立基于多指标的SOS-SVM大学生德育综合评价模型。通过对比分析,基于SOS-SVM方法的德育评价方法较BP法和SVM方法具有更高的准确率,为大学生德育综合评价提供更加科学的参考依据。 In order to achieve the high precision comprehensive evaluation of college students’moral education,a comprehensive evaluation index system of college students’moral education was constructed from the five dimensions,i.e.,political literacy,ideological quality,social morality,law and discipline quality and physical and mental quality.It includes 5 first-level indexes and 30 second-level indexes.The evaluation scores of 30 secondary indicators were obtained by the expert scoring method,and the comprehensive evaluation of moral education of college students was divided into four grades:excellent,good,medium and poor.The scores of 30 secondary evaluation indexes and the moral comprehensive evaluation grade of college students were taken as the input and output of SOS-SVM,respectively,and the moral comprehensive evaluation model of college students based on multi-index SOS-SVM was established.The comparison with SVM and BP shows that the SOS-SVM has a higher accuracy rate in moral education evaluation of college students,which provides a more scientific reference for comprehensive moral education evaluation of college students.
作者 李亚玲 LI Yaling(Marxism College,Shanxi University of Traditional Chinese Medicine,Xi’an 712046,China)
出处 《微型电脑应用》 2020年第12期48-50,共3页 Microcomputer Applications
基金 中国学位与研究生教育学会资助(C-YX20190304-08)。
关键词 共生生物搜索算法 支持向量机 专家打分法 大学生德育 综合评价 symbiotic organisms search algorithm(SOS) support vector machine(SVM) expert grading college students’moral education comprehensive evaluation
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