Based on multi-outputs support vector regression emergency casualties prediction

The frequent emergencies have inflicted the huge casualties and property losses. In the recent years, the casualty prediction models which some domestic scholars have established are mostly consist of a single factor or a small number of factors. In this paper, multi-output support vector regression is applied to respectively predict personnel mortality and injury rates on the former and the basis of considering a variety of factors. The meaning is to provide the scientific basis of rescue operations.