Machine Learning-Based Prediction of the Compressive Strength of Brazilian Concretes: A Dual-Dataset Study

Lately, several machine learning (ML) techniques are emerging as alternative and efficient ways to predict how component properties influence the properties of the final mixture. In the area of civil engineering, recent research already uses ML techniques with conventional concrete dosages. The impo...

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Detalles Bibliográficos
Autores principales: Silva, Vitor Pereira, Carvalho, Ruan de Alencar, Rêgo, João Henrique da Silva, Evangelista, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381529/
https://www.ncbi.nlm.nih.gov/pubmed/37512252
http://dx.doi.org/10.3390/ma16144977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381529/
https://www.ncbi.nlm.nih.gov/pubmed/37512252
http://dx.doi.org/10.3390/ma16144977

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