Robust Machine Learning Framework for Modeling the Compressive Strength of SFRC: Database Compilation, Predictive Analysis, and Empirical Verification

In recent years, the field of construction engineering has experienced a significant paradigm shift, embracing the integration of machine learning (ML) methodologies, with a particular emphasis on forecasting the characteristics of steel-fiber-reinforced concrete (SFRC). Despite the theoretical soph...

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Detalles Bibliográficos
Autores principales: Abbas, Yassir M., Khan, Mohammad Iqbal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673118/
https://www.ncbi.nlm.nih.gov/pubmed/38005107
http://dx.doi.org/10.3390/ma16227178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10673118/
https://www.ncbi.nlm.nih.gov/pubmed/38005107
http://dx.doi.org/10.3390/ma16227178

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