TY  - GEN 
AU  - Fernández Salas, Juan
AU  - Chiachío Ruano, Manuel
AU  - Chiachío Ruano, Juan
AU  - Muñoz Beltrán, Rafael
AU  - Herrera Triguero, Francisco
PY  - 2021
UR  - https://hdl.handle.net/10481/80449
AB  - Modern machine learning algorithms excel in a great variety of tasks, but at the same time, it is also known that
those complex models need to deal with uncertainty from different sources. Consequently, understanding if the
model is indeed making...
LA  - eng
PB  - Elsevier
KW  - Bayesian Neural Network
KW  - Approximate Bayesian Computation
KW  - Subset Simulation
KW  - Uncertainty quantification
KW  - Gradient-free training
KW  - Non-parametric formulation
TI  - Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials
DO  - 10.1016/j.engappai.2021.104511
ER  -