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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Auteurs principaux: Moromi-Nakata,Isabel, García-Fernández,Francisco, Torre-Carrillo,Ana, Espinoza-Haro,Pedro, Acuña-Pinaud,Luis
Langue:English
Publié: Escuela de Construcción Civil, Pontificia Universidad Católica de Chile 2018
Sujets:
GUM
Accès en ligne:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-915X2018000200319
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