Application of Support Vector Regression Algorithm in Colleges Recruiting Students Prediction

Abstract

Support vector regression algorithm is applied to colleges recruiting students prediction in the paper. As colleges recruiting students prediction is a nonlinear regression problem, the input training data of colleges recruiting students are nonlinearly mapped into a high dimensional space in support vector regression model. The amount of colleges recruiting students of Sichuan province from 2000 to 2008 is used to prove the effectiveness of support vector regression method. Then,the forecasting curves of support vector regression method and BP neural network and the comparison of forecasting error for amount of colleges recruiting students between support vector regression method and BP neural network are given in this study.The comparison results of forecasting error for amount of colleges recruiting students between support vector regression method and BP neural network indicate that support vector regression method has a higher forecasting accuracy than BP neural network.