MSC-1DCNN-based homogeneous slope stability state prediction method integrated with empirical data-Reference-Cited by-同舟云学术

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MSC-1DCNN-based homogeneous slope stability state prediction method integrated with empirical data

Published:2023-07-10 Issue:1 Volume:118 Page:729-753
ISSN:0921-030X
Container-title:Natural Hazards
language:en
Short-container-title:Nat Hazards

Author:

Jia He,Zhang Sherong,Wang Chao,Wang Xiaohua,Ma Zhonggang,Tan Yaosheng

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

National Natural Science Foundation of China

the science and technology projects from Huaneng power Corporation

Visiting Researcher Fund Program of State Key Laboratory of Water Resources and Hydropower Engineering Science

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s11069-023-06026-6.pdf

Reference73 articles.

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2. Balogun AL, Rezaie F, Pham QB, Gigović L, Drobnjak S, Aina YA, Panahi M, Yekeen ST, Lee S (2020) Spatial prediction of landslide susceptibility in western Serbia using hybrid support vector regression (SVR) with GWO, BAT and COA algorithms. Geosci Front 12(3):101104. https://doi.org/10.1016/j.gsf.2020.10.009

3. Bengio Y, Courville A, Vincent P (2013) Representation learning: a review and new perspectives. IEEE Trans Pattern Anal Mach Intell 35:1798–1828. https://doi.org/10.1109/TPAMI.2013.50

4. Bishop AW (1955) The use of slip circle in the stability analysis of slopes. Geotechnique 5:7–17. https://doi.org/10.1680/geot.1955.5.1.7

5. Bishop CM (1995) Neural Networks for Pattern Recognition. Oxford University Press, Oxford. https://doi.org/10.7551/mitpress/5271.003.0005

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