节点文献
基于BP神经网络的学生成绩预测方法研究
Research on student performance prediction method based on BP neural network
【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。
【Abstract】 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.
【Key words】 performance prediction; BP neural network; college courses performance; college entrance examination performance; teaching quality;
- 【文献出处】 计算机时代 ,Computer Era , 编辑部邮箱 ,2018年12期
- 【分类号】G642;TP183
- 【被引频次】14
- 【下载频次】933