Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP-Reference-Cited by-同舟云学术

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Explainable machine learning model for liquefaction potential assessment of soils using XGBoost-SHAP

Published:2023-02 Issue: Volume:165 Page:107662
ISSN:0267-7261
Container-title:Soil Dynamics and Earthquake Engineering
language:en
Short-container-title:Soil Dynamics and Earthquake Engineering

Author:

Jas Kaushik^ORCID,Dodagoudar G.R.

Funder

Ministry of Education, India

Publisher

Elsevier BV

Subject

Soil Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Reference117 articles.

1. Simplified procedure for evaluating soil liquefaction potential;Seed;J Soil Mech Found Div,1971

2. Ground motions and soil liquefaction during earthquakes;Seed,1982

3. Geotechnical earthquake engineering;Kramer,1996

4. Liquefaction resistance of soils: summary report from the 1996 NCEER and 1998 NCEER/NSF workshops on evaluation of liquefaction resistance of soils;Youd;J Geotech Geoenviron Eng,2001

5. Geotechnical earthquake engineering;Towhata,2008

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