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http://repositorio.ufla.br/jspui/handle/1/46363| Title: | Use of artificial neural networks to predict concrete compression strength |
| Other Titles: | Uso de redes neurais artificiais na predição da resistência à compressão do concreto |
| Keywords: | Concrete - Compressive strength Artificial neural networks Concreto - Resistência à compressão Redes neurais artificiais |
| Issue Date: | Jul-2020 |
| Publisher: | Brazilian Journals Publicações de Periódicos e Editora Ltda |
| Citation: | TAVARES, D. S. et al. Use of artificial neural networks to predict concrete compression strength. Brazilian Journal of Development, Curitiba, v. 6, n. 7, p. 42815-42826, jul. 2020. |
| Abstract: | Concrete is one of the most widely used building materials, being composed of different components with different properties, which makes the task of dosing and strength determination complex. Artificial Neural Networks is a tool that has the ability to generalize and learn from previous experiences that are provided by a previously built database. This work aims the implementation of RNA in determining the compressive strength of concrete of various ages. The input data is the material quantities and the output is the compressive strength. The results obtained are satisfactory and promising from the point of view of civil engineering. |
| URI: | https://doi.org/10.34117/bjdv6n7-050 http://repositorio.ufla.br/jspui/handle/1/46363 |
| Appears in Collections: | DAT - Artigos publicados em periódicos DCA - Artigos publicados em periódicos DCC - Artigos publicados em periódicos |
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