Application of the Monte Carlo method to estimate the uncertainty in the compressive strength test of high-strength concrete modelled with a multilayer perceptron

Abstract: The use of artificial neural networks as a modeling tool for the physic-mechanical properties of diverse materials has experienced great advances in the last ten years, mainly due to the increased in computing capacities of computers. This technique has been used in many different fields o...

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Autores principales: Moromi-Nakata,Isabel, García-Fernández,Francisco, Torre-Carrillo,Ana, Espinoza-Haro,Pedro, Acuña-Pinaud,Luis
Lenguaje:English
Publicado: Escuela de Construcción Civil, Pontificia Universidad Católica de Chile 2018
Materias:
GUM
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2018000200319
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