Identification of University Poor Students Based on Data Mining

At present, the traditional way to identity college students with financial difficulties has many disadvantages. It is very important and urgent to create a fair and effective way to identify the students of university who are real in need. BP neural network is constructed to create a nonlinear mapping between the economic conditions of college students and the needy students identifying. The result shows that network actual output and target output is basically the same. It provides a better way to identify college students with economic difficulties.