A Risk Prediction Model of Construction Enterprise Human Resources Based on Support Vector Machine

In order to solve the problem of large Sample and low resolution problems in predicting the risk of human resource of construction enterprises, a new method based on support vector machine is proposed in this paper. By introducing the theoretical base of SVM (support vector machine), the model based on SVM can rationally solve the large sample and low resolution problems in genetic algorithm and other prediction method. For illustration, a risk prediction of human resource in construction enterprises example is utilized to show the feasibility of the SVM model in solving predicting problem. The final results show that the SVM model is a new and effectual method for predicting the risk of human resource in construction enterprises and provide a new research thought and method for predicting risk in other fields.