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Selecting the optimal parameters for support vector machine (SVM) has long been a hot research topic.Aiming for support vector classification/regression (SVC/SVR) with the radial basis function (RBF) keel,we summarize the rough line rule of the penalty parameter and keel width,and propose a novel linear search method to obtain these two optimal parameters.We use a direct-setting method with thresholds to set the epsilon parameter of SVR.The proposed method directly locates the right search field,which greatly saves computing time and achieves a stable,high accuracy.The method is more competitive for both SVC and SVR.It is easy to use and feasible for a new data set without any adjustments,since it requires no parameters to set.