Multi-objective feature selection (MOFS) algorithms for prediction of liquefaction susceptibility of soil based on in situ test methods
Author:
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/s11069-020-04089-3.pdf
Reference51 articles.
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3. Andrus RD, Stokoe KH (2000) Liquefaction resistance of soils from shear-wave velocity. J Geotech Geoenviron Eng 126(11):1165–1177. https://doi.org/10.1061/(asce)1090-0241(2000)126:11(1015)
4. Atangana N, Pierre G, Shen S, Zhou A, Lyu H (2020) Evaluation of soil liquefaction using AI technology incorporating a coupled ENN / t-SNE model. Soil Dyn Earthq Eng 130:105988. https://doi.org/10.1016/j.soildyn.2019.105988
5. Bekele EG, Nicklow JW (2007) Multi-objective automatic calibration of SWAT using NSGAII. J Hydrol 341(3–4):165–176. https://doi.org/10.1016/j.jhydrol.2007.05.014
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