Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials

Article

Abstract: Modern machine learning algorithms excel in a great variety of tasks, but at the same time, it is al

Palabras claves:

Approximate Bayesian Computation, Bayesian Neural Network, Gradient-free training, Non-parametric formulation, Subset simulation, uncertainty quantification

Autores:

Fernández J., Herrera F., Juan Chiachío, Munoz R., Ruano M.C.

Fuentes:

scopus