Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS

An extensive simulation program is used in this study to discover the best ANN model for predicting the compressive strength of concrete containing Ground Granulated Blast Furnace Slag (GGBFS). To accomplish this purpose, an experimental database of 595 samples is compiled from the literature and ut...

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Detalles Bibliográficos
Autores principales: Tran, Van Quan, Mai, Hai-Van Thi, Nguyen, Thuy-Anh, Ly, Hai-Bang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641896/
https://www.ncbi.nlm.nih.gov/pubmed/34860842
http://dx.doi.org/10.1371/journal.pone.0260847

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8641896/
https://www.ncbi.nlm.nih.gov/pubmed/34860842
http://dx.doi.org/10.1371/journal.pone.0260847

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