Mostrando 2 resultados de: 2
Filtros aplicados
Publisher
Engineering Applications of Artificial Intelligence(1)
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM(1)
Área de conocimiento
Ciencia de materiales(2)
Año de Publicación
2022(2)
Origen
scopus(2)
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials
ArticleAbstract: Modern machine learning algorithms excel in a great variety of tasks, but at the same time, it is alPalabras claves:Approximate Bayesian Computation, Bayesian Neural Network, Gradient-free training, Non-parametric formulation, Subset simulation, uncertainty quantificationAutores:Fernández J., Herrera F., Juan Chiachío, Munoz R., Ruano M.C.Fuentes:scopusProbabilistic Safety Assessment in Composite Materials using BNN by ABC-SS
Conference ObjectAbstract: Carbon fiber reinforced polymer composites present excellent mechanical properties, however, their bPalabras claves:Autores:Fernández J., Juan Chiachío, Ruano M.C., Saleh A.Fuentes:scopus