Forecasting method based on support vector machine with Gaussian loss function

In view of the bad forecasting results of standard-Support Vector Machine(SVM) for product sale series with the normal distribution noise,a SVM based on the Gauss loss function,by name-SVM,was proposed.And then,a short-term intelligent forecasting method for product sales and its parameter-selection algorithm were presented.The results of its application in automobile sale forecasting indicated that the short-term forecasting method based on-SVM was effective and feasible.