Comparison of Data-Driven Methods for Evaluating Earthquake-Induced Liquefaction Potential
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-32029-4_30
Reference25 articles.
1. Hu, J., Tang, X., Qiu, J.: Assessment of Seismic liquefaction potential based on Bayesian network constructed from domain knowledge and history data. Soil Dyn. Earthquake Eng. 89, 49–60 (2016)
2. Lai, S.-Y., Chang, W.-J., Lin, P.-S.: Logistic regression model for evaluating soil liquefaction probability using CPT data. J. Geotech. Geoenviron. Eng. 132, 694–704 (2006)
3. Liao, S.S.C., Veneziano, D., Whitman, R.V.: Regression models for evaluating liquefaction probability. J. Geotech. Engrg. 114, 389–411 (1988)
4. Goh Anthony, T.C.: Seismic liquefaction potential assessed by neural networks. J. Geotech. Eng. 120, 1467–1480 (1994)
5. Goh Anthony, T.C.: Probabilistic neural network for evaluating seismic liquefaction potential. Can. Geotech. J. 39, 219–232 (2002)
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