Prediction of Rockburst Using Support Vector Machine

A new method based on support vector machine for predicting rockbursts was proposed.It uses support vector machine to represent nonlinear relationship between rockburst and its factors.This model learns from case histories and then can predict fast the rockburst for similar conditions.Three support vector machine models were established for VCR stope,carbon leader stope and tunnel in deep gold mines,respectively. The models give accurate predictions for the novel conditions.