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...
| المؤلفون الرئيسيون: | , , , , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Taylor & Francis
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://umpir.ump.edu.my/id/eprint/37830/1/Machine%20Learning%20Methods%20to%20Predict%20and%20Analyse.pdf |