基于灰色关联分析和BP神经网络的“互联网 + 支教”培养效果评价研究
Research on the Evaluation of Training Effect of “Internet + Teaching” Based on Grey Correlation Analysis and BP Neural Network

为科学、系统、全面地对云支教效果进行及时反馈，本文采用了灰色关联分析和BP神经网络相结合的评价方法。首先，使用变异系数法和DEMATEL确定综合权重，并结合相关文献与资料确定云支教培养效果评价指标体系，以各指标为输入，灰色关联分析综合评价结果为输出，训练神经网络，仿真结果显示，模型训练效果良好。
In order to scientifically, systematically and comprehensively provide timely feedback on the effect of cloud tutoring, this paper adopts the evaluation method combining grey correlation analysis and BP neural network. First of all, using the coefficient of variation method and DEMATEL to determine the comprehensive weights and combining relevant literature and information to determine the evaluation index system of the training effect of cloud tutoring, using the indicators as inputs, grey correlation analysis comprehensive evaluation results as outputs, and training neural networks, the simulation results show that the model training effect is good.