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《Science of Surveying and Mapping》 2011-03
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Uneven settlement prediction of tunnel based on EMD and LSSVM

TANG Jun①,ZOU Zi-li②,ZHANG Xiao-ping②(①Department of Resources and Environmental Engineering,East China Institute of Technology,Nanchang 330013,China;②College of Earth Sciences and Mapping Engineering,East China Institute of Technology,Jiangxi Fuzhou 344000,China)  
Uneven settlement of the tunnel is a complex system.Due to the non-linear and non-stationary characteristics,the paper led the empirical mode decomposition(EMD) and least squares support vector machine(LSSVM) into the field to establish a kind of model prediction based on EMD and LSSVM.First,it used the EMD method to smooth processing for the original sequence to get a series of intrinsic mode components(IMF);second,according to the change rule of each IMF,it used he appropriate parameters of LSSVM to construct different forecast;finally,the predictive value of the original sequence was synthesized.And the results showed that the hybrid method had faster speed,higher precision and greater generalization ability than the single LS-SVM method or AR method.
【Fund】: 东华理工大学校长基金(DHXK1010);; 江西省数字国土重点实验室开放基金(DLLJ201014)
【CateGory Index】: U456.3
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