Method for Predicticting and Analyzing Students' Achievement Based on Neural Network
The students'achievement is an important indicator of the management and guidance of students by the educational administration department and the academic engineering department,and it is also one of the important basis for curriculum reform.In view of the lack of effective quantitative analysis and prediction in school,the paper puts forward the method of achievement analysis and prediction based on neural network.Through the big data analysis of the factors affecting the achievement,the factors that have greater impact on the achievement are found out from the academic achievement and other relevant information of students,and BP neural network is used to achieve achievement prediction.The result shows that the model can predict the students'academic achievement accurately,overcome the shortcomings of traditional qualitative achievement prediction effectively,and retains the well practical application value.
万方数据
维普
