Gray Forecasting Model Whose Parameters Recognized by Support Vector Machine

A gray forecasting model whose parameters recognized by support vector machine is adopted. The SVM method based on structural risk minimization principle is used to compute the parameters of the grey model,and then the gray model is used to forecast. This combination forecasting method,named SVM-GM,avoids over fitting problem and improves forecasting effect.