The paper proposed a forecasting method of coal and gas outburst based on KPCA-SVM. The method firstly used KPCA to select features of correlative indexes influencing coal and gas outburst. then used SVM to make classified forecasting coal and gas outburst. The example forecasting result showed that the correctness rate of forecasting coal and gas outburst by the method is obviously h... https://www.roneverhart.com/9725/