Random forest algorithm for the strength prediction of geopolymer stabilized clayey soil

HA Zeini, D Al-Jeznawi, H Imran, LFA Bernardo… - Sustainability, 2023 - mdpi.com
Unconfined compressive strength (UCS) can be used to assess the applicability of
geopolymer binders as ecologically friendly materials for geotechnical projects.
Furthermore, soft computing technologies are necessary since experimental research is
often challenging, expensive, and time-consuming. This article discusses the feasibility and
the performance required to predict UCS using a Random Forest (RF) algorithm. The alkali
activator studied was sodium hydroxide solution, and the considered geopolymer source …

[引用][C] Random Forest Algorithm for the Strength Prediction of Geopolymer stabilized Clayey Soil. Sustainability 15: 1408

HA Zeini, D Al-Jeznawi, H Imran - 2023
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