Artificial Neural Model based on radial basis function networks used for prediction of compressive strength of fiber-reinforced concrete mixes
A complex nonlinear relationship exists between the factors influence the compressive design strength of steel fiber reinforced concrete. This relation between input variables, the factors, and the output variable as it is the compressive design strength can be obtained by using an artificial neural...
| Autores Principales: | , , , |
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| Formato: | Artículo (Article) |
| Lenguaje: | Español (Spanish) |
| Publicado: |
Universidad Militar Nueva Granada
2019
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/10654/33454 |