Study on the Method of Forecasting Casualty in Building Construction Based on SVM

In view of the shortage of building safety data and the difficulty to collect them, we propose a new forecasting method based on support vector machine in this paper. We analyze some casualty data and construct a forecasting model with the method of support vector machine. The experiments prove that the method has advantages of lower error in simulation and higher precision in forecasting comparing with artificial neural network (back propagation, BP). So it has a variety of application in the field