Prediction of Liquefied Soil Settlement Using Multilayer Perceptron with Bayesian Optimization
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40098-024-00894-w.pdf
Reference44 articles.
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2. Bobde A, Narnaware V, Tawari S, Thomas A (2022) Robust time series forecasting via time differencing and stacking. In: 2022 Int. Conf. Smart Gener. Comput. Commun. Netw. SMART GENCON. IEEE, pp 1–8
3. Cao Z, Youd TL, Yuan X (2013) Chinese dynamic penetration test for liquefaction evaluation in gravelly soils. J Geotech Geoenviron Eng 139(8):1320–1333. https://doi.org/10.1061/(ASCE)GT.1943-5606.0000857
4. Doan N-P, Nguyen B-P, Park S-S (2023) Seismic deformation analysis of earth dams subject to liquefaction using UBCSAND2 model. Soil Dyn Earthq Eng 172:108003. https://doi.org/10.1016/j.soildyn.2023.108003
5. Doan N-P, Park S-S, Lee D-E (2020) Assessment of Pohang earthquake-induced liquefaction at Youngil-man port using the UBCSAND2 model. Appl Sci 10(16):5424. https://doi.org/10.3390/app10165424
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