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

• 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/37830/1/Machine%20Learning%20Methods%20to%20Predict%20and%20Analyse.pdf; http://umpir.ump.edu.my/id/eprint/37830/; https://doi.org/10.1080/23311916.2023.2220492; https://doi.org/10.1080/23311916.2023.2220492
• Institution: Universiti Malaysia Pahang

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...