Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation-Reference-Cited by-同舟云学术

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Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation

Published:2023-11 Issue: Volume:123 Page:27-40
ISSN:1342-937X
Container-title:Gondwana Research
language:en
Short-container-title:Gondwana Research

Author:

Wang Luqi,Xiao Ting,Liu Songlin,Zhang Wengang,Yang Beibei,Chen Lichuan

Funder

Natural Science Foundation of Shandong Province

China Postdoctoral Science Foundation

Natural Science Foundation of Chongqing

Publisher

Elsevier BV

Subject

Geology

Reference67 articles.

1. Monte Carlo simulations to assess the uncertainty of locating and quantifying CO2 leakage flux from deep geological or anthropogenic sources;Beaubien;Stoch. Env. Res. Risk A.,2022

2. Learning long-term dependencies with gradient descent is difficult;Bengio;IEEE Trans. Neural Netw.,1994

3. Planning landslide countermeasure works through long term monitoring and grey box modelling;Bossi;Geosciences,2019

4. Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors;Cao;Landslides,2016

5. The geometry of slip surfaces beneath landslides: predictions from surface measurements;Carter;Can. Geotech. J.,1985

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