Mingshan tunnel construction period settlement prediction based on DE-SVM

被引：0
|
作者：
Lu, Zhongle [1 ]
Wu, Li [1 ]
Zhang, Xuewen [1 ]
Zhou, Ruifeng [1 ]
机构：
[1] Faculty of Engineering, China University of Geosciences(Wuhan), China
来源：
Electronic Journal of Geotechnical Engineering | 2013年 / 18 X卷
关键词：
In tunnel construction period; there exists a complex; nonlinear relation between time and settlement; as a research branch of tunnel time-space effects. The paper proposes the combination of differential evolution and support vector machine to form the DE-SVM model applied to accurately predict tunnel arc top settlement based on the site survey. Through introduced and analysis of the SVM function and its system structure; and DE optimal process; the DE-SVM can be suitably applied to tunnel settlement prediction to achieve ideal effects. By compare on the same sample data regressions by DE-SVM and GA-SVM; the error of prediction by DE-SVM is obviously less than that of the other model. From the case of Mingshan High Speed Railway Tunnel; the advantages of DE-SVM are expounded that it owns the characters of higher accuracy; faster convergence; and stronger adjustability; therefore DE-SVM settlement prediction model can be widely used to the similar construction required the high precision and the simple approach. © 2013; EJGE;
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页码：5525 / 5536
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