Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams

The ability of machine learning (ML) techniques to forecast the shear strength of corroded reinforced concrete beams (CRCBs) is examined in the present study. These ML techniques include artificial neural networks (ANN), adaptive-neuro fuzzy inference systems (ANFIS), decision tree (DT) and extreme...

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Detalles Bibliográficos
Autores principales: Kumar, Aman, Arora, Harish Chandra, Kapoor, Nishant Raj, Kumar, Krishna, Hadzima-Nyarko, Marijana, Radu, Dorin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938144/
https://www.ncbi.nlm.nih.gov/pubmed/36807317
http://dx.doi.org/10.1038/s41598-023-30037-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938144/
https://www.ncbi.nlm.nih.gov/pubmed/36807317
http://dx.doi.org/10.1038/s41598-023-30037-9

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