A case study of resilient modulus prediction leveraging an explainable metaheuristic-based XGBoost

He, Biao; Armaghani, Danial Jahed; Tsoukalas, Markos Z.; Qi, Chongchong; Bhatawdekar, Ramesh Murlidhar; Asteris, Panagiotis G.

doi:10.1016/j.trgeo.2024.101216

Transportation Geotechnics

2024

DOI: 10.1016/j.trgeo.2024.101216

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A case study of resilient modulus prediction leveraging an explainable metaheuristic-based XGBoost

Biao He,

Danial Jahed Armaghani,

Markos Z. Tsoukalas

et al.

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Cited by 6 publications

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A case study of resilient modulus prediction leveraging an explainable metaheuristic-based XGBoost

Cited by 6 publications

References 36 publications

Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models

Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models

Comparative study on in-situ resilient modulus of subgrade estimated using in-situ modulus detector

Eco-Friendly Nanotechnology in Rheumatoid Arthritis: ANFIS-XGBoost Enhanced Layered Nanomaterials

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