Decision tree models for the estimation of geo-polymer concrete compressive strength

Decision tree models for the estimation of geo-polymer concrete compressive strength

The green concretes industry benefits from utilizing gel to replace parts of the cement in concretes. However, measuring the compressive strength of geo-polymer concretes (CSGPoC) needs a significant amount of work and expenditure. Therefore, the best idea is predicting CSGPoC with a high level of a...

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Bibliographic Details
Main Authors: Ji Zhou, Zhanlin Su, Shahab Hosseini, Qiong Tian, Yijun Lu, Hao Luo, Xingquan Xu, Chupeng Chen, Jiandong Huang
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
geo-polymer concrete
compressive strength
super learner
extreme gradient boosting
decision tree
random forest
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2024061?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2024061?viewType=HTML

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