Machine learning-based hybrid regularization techniques for predicting unconfined compressive strength of soil reinforced with multiple additives
Crossref DOI link: https://doi.org/10.1007/s41939-025-00831-1
Published Online: 2025-03-20
Published Print: 2025-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kumar, Anish
Sinha, Sanjeev
Text and Data Mining valid from 2025-03-20
Version of Record valid from 2025-03-20
Article History
Received: 23 November 2024
Accepted: 6 March 2025
First Online: 20 March 2025
Declarations
:
: The authors declare no known conflict of interests.