Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-25446-2.pdf
Reference42 articles.
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2. Arefi A, Sturm B, von Gersdorff G, Nasirahmadi A, Hensel O (2021) Vis-NIR hyperspectral imaging along with Gaussian process regression to monitor quality attributes of apple slices during drying. LWT 152:112297. https://doi.org/10.1016/j.lwt.2021.112297
3. Beiranvand B, Rajaee T (2022) Application of artificial intelligence-based single and hybrid models in predicting seepage and pore water pressure of dams: a state-of-the-art review. Adv Eng Softw 173:103268. https://doi.org/10.1016/j.advengsoft.2022.103268
4. Cavus US, Kilit M (2022) Safety assessment and treatment techniques of an operated dam with a leakage problem: case study of Hisarardi embankment dam. Environ Earth Sci 81(24):1–16. https://doi.org/10.1007/s12665-022-10668-3
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