Intelligent prediction of freight volume based on Support Vector Regression

摘要

In view of the features of nonlinear,coupling and time variability that appeared during the development of freight traffic,the intelligent prediction method of freight volume based on support vector regression is proposed.The advantages of kernel method in dealing with nonlinear,uncertain and imprecise data are discussed,and the freight volume intelligent forecasting model based on kernel method is put forward.Take the domestic freight volume in recent years as a target application,the result shows the effectiveness of this model.