A Comparison of Machine Learning Tools That Model the Splitting Tensile Strength of Self-Compacting Recycled Aggregate Concrete

Several types of research currently use machine learning (ML) methods to estimate the mechanical characteristics of concrete. This study aimed to compare the capacities of four ML methods: eXtreme gradient boosting (XG Boost), gradient boosting (GB), Cat boosting (CB), and extra trees regressor (ETR...

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Detalles Bibliográficos
Autores principales: de-Prado-Gil, Jesús, Palencia, Covadonga, Jagadesh, P., Martínez-García, Rebeca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229901/
https://www.ncbi.nlm.nih.gov/pubmed/35744223
http://dx.doi.org/10.3390/ma15124164

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229901/
https://www.ncbi.nlm.nih.gov/pubmed/35744223
http://dx.doi.org/10.3390/ma15124164

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