Abstract: A new support vector regression model is presented by support vector machines (SVM) theory. The solution of the model is transformed into a quadratic programming problem. Parameters of the model can be auto-selected. It is shown that the model had a rich generalization by testing China grain production.

Key words: support vector machines (SVM), support vector regression (SVR), generalization