Predicting Ultra-High-Performance Concrete Compressive Strength Using Tabular Generative Adversarial Networks

There have been abundant experimental studies exploring ultra-high-performance concrete (UHPC) in recent years. However, the relationships between the engineering properties of UHPC and its mixture composition are highly nonlinear and difficult to delineate using traditional statistical methods. The...

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Detalles Bibliográficos
Autores principales: Marani, Afshin, Jamali, Armin, Nehdi, Moncef L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663629/
https://www.ncbi.nlm.nih.gov/pubmed/33114394
http://dx.doi.org/10.3390/ma13214757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663629/
https://www.ncbi.nlm.nih.gov/pubmed/33114394
http://dx.doi.org/10.3390/ma13214757

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