Forecasting the Runoff Using Least Square Support Vector Machine

摘要：

To forecast the runoff of medium and long term is a research difficult problem in natural science domain, and that to forecast the runoff accurately is the important foundation of preventing flood and reducing natural disasters and optimizing the management of water resource. For this problem,we propose a new forecast method based on least square support vector machine in this paper to forecast the runoff of medium and long term, and we compare the forecast result using least square support vector machine with the forecast result using artificial neural network (Back propagation, BP). The experiments prove that the method of least square support vector machine has advantages of lower error in simulation and higher precision in forecast comparing with artificial neural network (Back propagation, BP).

关键词： Runoff Least Square Support Vector Machine Forecast BP

作者: FENG Lijun LI Shuquan

作者单位: Tianjin University of Finance and Economics,P.R.China,300222;College of Urban and Rural Construction Tianjin University of Finance and Economics,P.R.China,300222

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 884-889

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）