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《Chinese Journal of Underground Space and Engineering》 2006-S2
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Application of AOSVR on Surrounding Rock Displacement Forecasting of Underground Powerhouse

JIN Chang-yu MA Zhen-yue ZHANG Yun-liang (Dalian Univ.of Technology,Dalian 116024,P.R.China)  
Because the prediction accuracy of ANN and Fuzzy system algorithm is insufficient for underground powerhouse rock surrounding stability,the method of Accurate Online Support Vector Regression(AOSVR)was ap- plied to study the evolution law for underground powerhouse rock surrounding displacement.Comparison of the fore- casting results of ANN and Fuzzy System with the monitoring result for rock surrounding displacement of underground powerhouse show that the learning efficiency and prediction accuracy of AOSVR is superior to ANN and Fuzzy System obviously.
【CateGory Index】: TV223.3
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