Abstract：Based on the structural risk minimization principle，a support vector machine(SVM) algorithm，the best machine learning algorithm in the artificial intelligence field today，is introduced. Two kinds of kernel functions(linear and radial basis function) and two kinds of loss functions (e -insensitive and quadratic) and different penalty parameter C are adopted to program a SVM routine in Matlab. Using the developed SVM model，many influencing factors of slope angle design are analyzed. With continued parameter modification and comparative calculations，a SVM network model with high accuracy of fitting was established. The reliability of this SVM network model is verified by sample testing，where many kinds of accuracy influencing factors of the SVM model are considered. The precision influencing sequence of these parameters is confirmed based on the calculation results，providing reference for similar engineering applications.
