STUDY ON THE METHOD OF FORECASTING CASUALTY IN BUILDING CONSTRUCTION BASED ON SVM

摘要：

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.

关键词： Building Safety Forecast Support vector machine

作者: SHU-QUAN LI LI-JUN FENG LI-XIA FAN LAN MA QIU-LI GAO

作者单位: Tianjin University of Finance and Economics, Tianjin 300222, China Tianjin University of Finance and Economics, Tianjin 300222, China;School of Urban and Rural Constru Baoding bureau of building construction safety supervision of Heibei, Baoding 071001, Hebei, China Construction Group Ld.Corp.of Hebei, Baoding 071001, Hebei, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 3547-3550

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）