Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils
Auteur(s): |
Rodrigo Polo-Mendoza
Jose Duque David Masin |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Case Studies in Construction Materials, juillet 2024, v. 20 |
Page(s): | e02800 |
DOI: | 10.1016/j.cscm.2023.e02800 |
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10755910 - Publié(e) le:
14.01.2024 - Modifié(e) le:
14.01.2024