基于BP神经网络的网上学习评价方法

利用BP神经网络并结合聚类分析技术,提出了一个面向网上学习评价的新型评价方法:在需要评价的大量数据中使用聚类分析技术选择部分对象的数据,让老师去评价打分,然后将这些结果作为BP神经网络的训练样本,让网络学会老师的评价方法,然后再将网络应用到其他对象的数据,进行网上学习评价仿真。文中给出了一个网上学习评价方法模型和相应实例,该方法在网上学习分班管理中,对学生学习能力进行评价时,得到了满意的结果。

Evaluation Method in E- Learning Based on BP Neural Networks

Introduces a new method of learning appraisal in E-learning by using the technology of BP neural networks and cluster analysis. First, pick out part of data of objects by using the technology of cluster analysis in a great deal of data needed to be evaluated, let teachers evaluate and mark these data. Secondly, regard these results as training sample of BP neural networks, let the network learn the teacher's appraisal method. Lastly, apply the network to other targets' data, carry on the appraisal emulation in E-learning. In the management of dividing into several classes of E-learning, when this method is appraised to student's learning ability,it has received the satisfactory result.