RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials
Published: 23 January 2025| Version 1 | DOI: 10.17632/zv2cdhhxrn.1
Contributors:
Farzin Kazemi, aybike ozyuksel ciftcioglu, , , Description
The utilization of advanced structural materials, such as preplaced aggregate concrete (PAC), fiber-reinforced concrete (FRC), and FRC beams has revolutionized the field of civil engineering. Therefore, the current research titled "RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials" in Computers and Structures, introduces a novel RAGN-R approach for proposing a comprehensive predictive model. The dataset used for this research is published to be used by researchers, for more, please check the paper.
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Categories
Data Science, Machine Learning, Machine Learning Algorithm, Scientific Databases, Concrete Technology, Reinforced Concrete, Steel-Reinforced Concrete, Concrete Construction, Fiber Reinforced Concrete, Properties of Concrete, Aggregate Production, Low-Carbon Concrete, Extreme Learning Machine, Automated Machine Learning