Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model

AuthID
 P-00Y-BHY
6
Author(s)
Lwti, NK
·
Henedy, SN
·
Al-Khafaji, Z
Document Type
Article
Year published
2023
Published
in APPLIED SCIENCES-BASEL, ISSN: 2076-3417
Volume: 13, Issue: 8
Indexing
Wos®
Scopus®
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85156105976
Wos: WOS:000977568600001
Source Identifiers
ISSN: 2076-3417
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