Comparison of machine learning methods for ground settlement prediction with different tunneling datasets

This study integrates different machine learning (ML) methods and 5-fold cross-validation (CV) method to estimate the ground maximal surface settlement (MSS) induced by tunneling. We further investigate the applicability of artificial intelligent (AI) based prediction through a comparative study of...

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Dades bibliogràfiques

Autors principals:	Libin Tang, SeonHong Na
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2021-12-01
Col·lecció:	Journal of Rock Mechanics and Geotechnical Engineering
Matèries:	Surface settlement Tunnel construction Machine learning (ML) Hyperparameter optimization Cross-validation (CV)
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S1674775521001347
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