Research on Prediction of Student Status' Change Based on Neural Network Algorithm

摘要

In order to provide effectively assessment and decision support for student status management, a prediction model for the change of student status based on back propagation neural network algorithm is presented, compared with the traditional statistical methods, it achieves the prediction of student status changes for individual student as well as the accuracy assessment of status changes prediction for student groups with technical method. According to the basic principle and modeling method of BP neural network algorithm, the implementation process involves studying data feature of student related dataset, defining the topology of neural network algorithm, and adding cross-validation to train and validate the neural network model of student status changing. The result shows that the training model can effectively predict the change of student status, and the accuracy of prediction can reach 85%.