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
2）School of Earth Science and Engineering，Hohai University，Nanjing 210098
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.
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.
