摘要
采用来自UCI数据库中的UNS(The knowledge level of user)数据集为实验样本,在Matlab R2016a环境下建立BP神经网络,从而实现了学生认知水平的预测。结果显示,用该模型进行学生认知水平预测的准确率可达到97.931%,有较高的准确性和可靠性。
UNS(The knowledge level of user) dataset from UCI database is used in this experiment and the models of BP neural network are set up in the Matlab R2016 environment, and make it possible to predict the cognitive level of students. The result indicates that the prediction accuracy of students' cognitive level of this model can reach 97.931% and shows high accuracy and reliability.
出处
《河套学院论坛》
2016年第3期82-85,共4页
HETAO COLLEGE FORUM
关键词
BP神经网络
认知水平
预测
BP neural network
cognitive level
prediction
