中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A WD-GA-LSSVM model for rainfall-triggered landslide displacement prediction

文献类型:期刊论文

作者ZHU Xing; MA Shu-qi; XU Qiang; LIU Wen-de
刊名Journal of Mountain Science
出版日期2018-01
卷号15期号:1页码:156-166
关键词Wd-ga-lssvm Landslide Rainfall Displacement Prediction Wavelet Denoising
ISSN号1672-6316
DOI10.1007/s11629-016-4245-3
通讯作者MA Shu-qi
英文摘要This paper proposes a WD-GA-LSSVM model for predicting the displacement of a deep-seated landslide triggered by seasonal rainfall, in which wavelet denoising (WD) is used in displacement time series of landslide to eliminate the GPS observation noise in the original data, and genetic algorithm (GA) is applied to obtain optimal parameters of least squares support vector machines (LSSVM) model. The model is first trained and then evaluated by using data from a gentle dipping (~2°-5°) landslide triggered by seasonal rainfall in the southwest of China. Performance comparisons of WD-GA-LSSVM model with Back Propagation Neural Network (BPNN) model and LSSVM are presented, individually. The results indicate that the adoption of WD-GA-LSSVM model significantly improves the robustness and accuracy of the displacement prediction and it provides a powerful technique for predicting the displacement of a rainfall-triggered landslide.
语种英语
源URL[http://ir.imde.ac.cn/handle/131551/20789]  
专题Journal of Mountain Science _Journal of Mountain Science-2018_Vol15 No.1
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ZHU Xing,MA Shu-qi,XU Qiang,et al. A WD-GA-LSSVM model for rainfall-triggered landslide displacement prediction[J]. Journal of Mountain Science,2018,15(1):156-166.
APA ZHU Xing,MA Shu-qi,XU Qiang,&LIU Wen-de.(2018).A WD-GA-LSSVM model for rainfall-triggered landslide displacement prediction.Journal of Mountain Science,15(1),156-166.
MLA ZHU Xing,et al."A WD-GA-LSSVM model for rainfall-triggered landslide displacement prediction".Journal of Mountain Science 15.1(2018):156-166.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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