Optimization of SVM Method with RBF kernel

Usually there is no a uniform model to the choice of SVM's kernel function and its parameters for SVM. This paper presents a bilinear grid search method for the purpose of getting the parameter (C, gamma) of SVM with RBF kernel, with the approach of combining grid search with bilinear search. Experiment results show that the proposed bilinear grid search. has combined both the advantage of moderate training quantity by the bilinear search and of high predict accuracy by the grid search.