The adoption of ELM to the prediction of soil liquefaction based on CPT
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/s11069-021-04594-z.pdf
Reference29 articles.
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3. Goh ATC, Goh SH (2007) Support vector machines: Their use in geotechnical engineering as illustrated using seismic liquefaction data. Comput Geotech 34(5):410–421. https://doi.org/10.1016/j.compgeo.2007.06.001
4. Huang F, Huang J, Jiang S, Zhou C (2017) Landslide displacement prediction based on multivariate chaotic model and extreme learning machine. Eng Geol 218:173–186. https://doi.org/10.1016/j.enggeo.2017.01.016
5. Idriss IM, Boulanger RW (2004) Semi-empirical procedures for evaluating liquefaction potential during earthquakes. Soil Dyn Earthq Eng 26(2–4):115–130. https://doi.org/10.1016/j.soildyn.2004.11.023
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