摘要
利用已有成绩对未来成绩进行准确预测,对提高教学质量有重大意义。文章提出了基于BP神经网络的学生成绩预测方法,并将其应用于南京邮电大学C语言课程的期末成绩预测,以及某高中高考成绩预测。通过对比分析,说明该方法的应用条件,验证该方法的有效性。最后分析该方法应用于教学的具体方式。
It is of great significance to improve the teaching quality by accurately predicting future performance with existing performance.The student performance prediction method based on BP neural network is proposed in this paper.And the proposed method is applied to the final performance prediction of C programming language course in Nanjing University of Posts and Telecommunications,and the performance prediction of college entrance examination in a high school.Through comparison and analysis,the application condition of the proposed method is illustrated,and the effectiveness of the proposed method is verified.Finally,the specific application of the proposed method in teaching is analyzed.
作者
周剑
薛景
韩崇
肖甫
孙力娟
Zhou Jian;Xue Jing;Han Chong;Xiao Fu;Sun Lijuan(College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China)
出处
《计算机时代》
2018年第12期71-74,共4页
Computer Era
基金
南京邮电大学教改项目(JG00417JX75
JG00417JX72)
教育部产学合作协同育人项目(201702136013
201701041008)
关键词
成绩预测
BP神经网络
大学课程成绩
高中高考成绩
教学质量
performance prediction
BP neural network
college courses performance
college entrance examination performance
teaching quality
