Modelling and predicting landslide displacements and uncertainties by multiple machine-learning algorithms: application to Baishuihe landslide in Three Gorges Reservoir, China-Reference-Cited by-同舟云学术

Modelling and predicting landslide displacements and uncertainties by multiple machine-learning algorithms: application to Baishuihe landslide in Three Gorges Reservoir, China

Published:2021-01-01 Issue:1 Volume:12 Page:741-762
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Jiang Yanan¹²³,Xu Qiang¹,Lu Zhong³^ORCID,Luo Huiyuan²,Liao Lu⁴,Dong Xiujun¹

Affiliation:

1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China

2. College of Earth Science, Chengdu University of Technology, Chengdu, China

3. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX, USA

4. Technology Service Center of Surveying and Mapping, Sichuan Bureau of Surveying, Mapping and Geoinformation, Chengdu, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2021.1891145

Reference45 articles.

1. Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors

2. A statistical-based approach for determining the intensity of unrest phases at Stromboli volcano (Southern Italy) using one-step-ahead forecasts of displacement time series

3. Confidence interval prediction for neural network models

4. Control problems of grey systems

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