Modern Electronic Technique

The modeling and prediction of the college students employment can describe the variation trend of college students employment,and provide the valuable information for administrator. In order to improve the prediction accuracy of the employment population,a college students employment forecasting model based on the combination method is put forward. The employment data of a certain college is collected and normalized. The grey model and neural network are used to model and predict the employment quantity of college students respectiely. The results predicted by grey model and neural network are performed with weight determination,and weighted to get the final prediction result of the college students employment quantity. The test results show that the combination method can describe the variation trend of college students employment quantity,and acquire the desired prediction results of college students employment quantity.