Introduction to Model selection of SVM Regression

Support vector machine(SVM) are a kind of novel machine learning methods based on statistical learning theory.Model selection is an important step in SVM design.This paper introduces kernel function,the importance of model parameters and its practical selection for SVM regression.The best kernel function and existing practical approaches to the choice of model parameters are given in SVM applications.