The Application Of Mathematical Model In The Prediction Of College Enrollment

Prediction is human's inference and expectations. According to history or something have been known, people make inference and judgment. Scientific prediction is the prerequisite and guarantee for the right decisions. With the deepening of reform and opening up, China's economic has developed rapidly, as well as the development of education. It is very important for school's enrollment work to do some research on predicting the enrollment plan by establishing proper model.The main content of this research is to do some prediction to solve more practical problem, using the combination forecast model based on a single model. In this research, the object is the number of student enrollment. This issue presents two models: gray GM(1,1) model, support vector machine model.College enrollment is a samples of small, nonlinear and uncertainty. Firstly, A gray prediction model should be established, and then modified it. Compared with the traditional model, we found that gray GM(1,1) prediction model can get a better solution on the problem of predicting college enrollment, and have a good effect on prediction.Secondly, the same study also focuses on the same research object by the method of support vector machine model. Combining the gray model with the support vector machine model is a good method for the enrollment modeling, and can achieve better prediction effect.Finally, we weight these single models, and adopt the optimal combination method to get the combination forecast model, and then we use this model to predict the research object. Combining the advantages of each model, the model is more tally with the actual situation and can ensure the high forecast accuracy.