Tidal level forecast of Wenjiayan station on Qiantangjiang River based on support vector machine

摘要：

　　Support Vector Machine (SVM) is a sort of automatic computerized learning method based on statistical learning theory,which is a new theory in the field of machine learning.Statistical learning theory not only to consider the generalization ability,and the pursuit of optimal results under the conditions of the existing limited information is the best theory for the small sample statistical estimation and forecasting study.Use the support vector machine to set up a hourly non-linear relationship between the tidal based on the tidal data for grasping the regularity of tides and making short-term forecasts on tidal level.The conclusion could provide references for seawall seepage analysis,stability analysis and engineering of safe operation.Examples show that the prediction model based on the support vector machine has higher accuracy,in line with the standards of the hydrological information and forecasting.

关键词： support vector machine Wenjiayan station tidal level forecast

作者: J.P.Liu Z.Z.Wu S.X.Zheng

作者单位: College of Civil Engineering and Architecture, Zhejiang University of Technology, Hangzhou, China

会议类型: 国际会议

会议名称: 2012 International Conference on Frontiers of Energy and Environmental Engineering(2012年第二届能源与环境工程前沿国际会议(ICFEEE2012))

会议地点: 香港

会议语种:英文

页码: 240-244

在线出版日期: 2012-12-01（万方平台首次上网日期，不代表论文的发表时间）