Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns

Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns

In this study, several machine learning approaches are used for the prediction of the unconfined compressive strength (UCS) of polypropylene-stabilised soft soil. This research work generates new data and applies several machine learning algorithms for the analysis of UCS. Fifty-two samples are in o...

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Bibliographic Details
Main Authors: Hoque, Md. Ikramul, Muzamir, Hasan, Islam, Md Shofiqul, Houda, Moustafa, Abdallah, Mirvat, Sobuz, Md. Habibur Rahman
Format: Article
Language:English
Published: Taylor & Francis 2023
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/37830/
http://umpir.ump.edu.my/id/eprint/37830/1/Machine%20Learning%20Methods%20to%20Predict%20and%20Analyse.pdf

Internet

http://umpir.ump.edu.my/id/eprint/37830/
http://umpir.ump.edu.my/id/eprint/37830/1/Machine%20Learning%20Methods%20to%20Predict%20and%20Analyse.pdf

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