Study on application of support vector machine to prediction of blasting vibration velocity

Based on the nonlinear regression theory of Support Vector Machine, SVM model was put forward to predict blasting vibration velocity by using monitoring data obtained in blasting site as training samples. By comparing the results of the two prediction models of the improved Sadaovsk and SVM, the feasibility of the new learning method of SVM model was verified, which will provide a new way to predict and control intensity of blasting vibration. The best way to select the parameters of SVM needs to be further explored.