ν-SVR IMPROVED ROLLING FORECASTING MODEL AND ITS
APPLICATION IN DAM SETTLEMENT MONITORING
1）School of Information Science and Engineering，Shandong Agricultural University，Taian 271000
Abstract Based on forecasting ability of SVM related to Support Vectors，an improved rolling forecasting model was proposed by rejecting the non support vectors.The practical dam monitoring example showed that the improved method was effective,and the forecasting accuracy was improved.
Key words ：
v-SVR
rolling forecasting model
dam settlement monitoring
SVM
dam safety
Received: 11 July 2013
Published: 22 July 2014
Cite this article:
Cong Kanglin,Yue Jianping,Li Xican. ν-SVR IMPROVED ROLLING FORECASTING MODEL AND ITS
APPLICATION IN DAM SETTLEMENT MONITORING[J]. jgg, 2014, 34(4): 92-95.
Cong Kanglin,Yue Jianping,Li Xican. ν-SVR IMPROVED ROLLING FORECASTING MODEL AND ITS
APPLICATION IN DAM SETTLEMENT MONITORING[J]. jgg, 2014, 34(4): 92-95.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2014/V34/I4/92
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