Reliability of the prediction model for landslide displacement with step-like behavior-Reference-Cited by-同舟云学术

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Reliability of the prediction model for landslide displacement with step-like behavior

Published:2021-05-07 Issue:11 Volume:35 Page:2335-2353
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Fu Zhiyong,Long Jingjing,Chen Wenqiang,Li Changdong,Zhang Haikuan,Yao Wenmin

Funder

National Key R&D Program of China

National Science Fund for Excellent Young Scholars of China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities, China University of Geosciences

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s00477-021-02029-6.pdf

Reference45 articles.

1. Ahmed M, Hamid R, Zohre S, Mohamed M (2016) Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia. Landslides 13(5):839–856. https://doi.org/10.1007/s10346-015-0667-1

2. Breiman L (2001) Random forests. Mach Learn 45(1):5–32

3. Cheng L, Zeng Z, Yao W, Tang H (2015) Multiple neural networks switched prediction for landslide displacement. Eng Geol 186:91–99. https://doi.org/10.1109/ijcnn.2014.6889497

4. Du J, Yin K, Lacasse S (2013) Displacement prediction in colluvial landslides, Three Gorges Reservoir, China. Landslides 10(2):203–218. https://doi.org/10.1007/s10346-012-0326-8

5. Gong W, Tang H, Wang H, Wang X, Juang C (2019) Probabilistic analysis and design of stabilizing piles in slope considering stratigraphic uncertainty. Eng Geol 259:105162. https://doi.org/10.1016/j.enggeo.2019.105162

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