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	A WD-GA-LSSVM model for rainfall-triggered landslide displacement prediction
	ZHU Xing; MA Shu-qi; XU Qiang; LIU Wen-de
刊名	Journal of Mountain Science
	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
DOI	10.1007/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
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/20789]
专题	Journal of Mountain Science _Journal of Mountain Science-2018_Vol15 No.1
推荐引用方式 GB/T 7714	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.

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