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《Journal of Yangtze River Scientific Research Institute》 2009-02
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ACA-LSSVM for Deformation Forecasting of Cavern Surrounding Rock and Its Application

XU Fei1,2,XU Wei-ya1,2,LIU Da-wen3,LIU Kang3(1.Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering,Hohai University,Nanjing 210098,China;2.Research Institute of Geotechnical Engineering,Hohai University,Nanjing 210098,China;3.Chengdu Hydroelectric Investigation and Design Instituteof CHECC,Chengdu 610072,China)  
The in-situ monitoring data of surrounding rock displacements reflect the changing of mechanical situation of a cavern.In order to overcome the excessive learning of ANN,a new method,ACA-LSSVM,is presented to forecast the nonlinear displacements of surrounding rock. An ant colony algorithm is used to choose parameters of support vector machine. It can escape from the blindness of man-made choice and enhances the efficiency and the capability of forecasting.The method can forecast in rolling the surrounding rock displacements on the basis of monitoring data,in order to discover abnormal situation in time,adjust the supporting schemes dynamically and ensure the stability of surrounding rock of the cavern.The engineering case studies indicate that it is scientific and there is an extensive prospect for this real time forecasting.
【Fund】: 国家自然科学基金(50539110);; 国家重点基础研究发展规划(973)项目(2002CB412707)
【CateGory Index】: TV221.2
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