Performance comparison of neural network training algorithms in the modeling properties of steel fiber reinforced concrete

Our study is aimed at modeling the effect of three contributory factors, namely aspect ratio, water cement ratio and cement content on the water intake/absorption, compressive strength, flexural strength, split tensile strength and slump properties of steel fiber reinforced concrete. Artificial neur...

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Detalles Bibliográficos
Autores principales: Awolusi, T.F., Oke, O.L., Akinkurolere, O.O., Sojobi, A.O., Aluko, O.G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317327/
https://www.ncbi.nlm.nih.gov/pubmed/30623130
http://dx.doi.org/10.1016/j.heliyon.2018.e01115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317327/
https://www.ncbi.nlm.nih.gov/pubmed/30623130
http://dx.doi.org/10.1016/j.heliyon.2018.e01115

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