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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2019
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| Materias: | |
| 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 |