Machine learning approaches to estimation of the compressibility of soft soils

Machine learning approaches to estimation of the compressibility of soft soils

The modulus of compression and coefficient of compressibility of soft soils are key parameters for assessing deformation of geotechnical infrastructure. However, the consolidation tests used to determine these two indices are time-consuming and the results are easily and heavily influenced by workma...

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Bibliographic Details
Main Authors:	Huifen Liu, Peiyuan Lin, Jianqiang Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-03-01
Series:	Frontiers in Earth Science
Subjects:	artificial neural network random forest support vector machine soft soil model uncertainty compression indices
Online Access:	https://www.frontiersin.org/articles/10.3389/feart.2023.1147825/full

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