Código QR (código de barras bidimensional)

Prediction of the soil–water retention curve of compacted clays using PSO–GA XGBoost

Soil–water retention (SWR) is fundamental for understanding the hydro-mechanical behavior of unsaturated clay soils. The soil–water retention curve is typically obtained through extensive and costly laboratory testing. To offer a more efficient alternative, an extreme gradient boosting (XGBoost) mod...

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Principais autores: Reza Taherdangkoo, Thomas Nagel, Vladimir Tyurin, Chaofan Chen, Faramarz Doulati Ardejani, Christoph Butscher
פורמט: Artigo
שפה:Inglês
יצא לאור: KeAi Communications Co. Ltd. 2026-03-01
סדרה:Artificial Intelligence in Geosciences
נושאים:
Unsaturated soils
Soil–water retention
XGBoost
PSO–GA
CatBoost
גישה מקוונת:http://www.sciencedirect.com/science/article/pii/S2666544125000693
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