Singular spectrum analysis-based hybrid PSO-GSA-SVR model for predicting displacement of step-like landslides: a case of Jiuxianping landslide
Author:
Funder
Natural Science Foundation of Chongqing
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s11440-023-02050-9.pdf
Reference46 articles.
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2. Dai AM, Xu AQ, Sun WC (2016) Signal denoising method based on improve singular spectrum analysis. Trans Beijing Inst Technol 36(7):727–732+759
3. Dong DM, Liang Y, Wang LQ, Wang CS, Sun ZH, Wang C, Dong MM (2017) Displacement prediction method based on ensemble empirical mode decomposition and support vector machine regression—a case of landslides in three Gorges reservoir area. Rock Soil Mech 38(12):3660–3669. https://doi.org/10.16285/j.rsm.2017.12.034
4. Du J, Yin KL, Lacasse S (2013) Displacement prediction in colluvial landslides, three Gorges reservoir, China. Landslides 10:203–218. https://doi.org/10.1007/s10346-012-0326-8
5. Gao SC, Vairappan C, Wang Y, Cao QP, Tang Z (2014) Gravitational search algorithm combined with chaos for unconstrained numerical optimization. Appl Math Comput 231:48–62. https://doi.org/10.1016/j.amc.2013.12.175
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