TY  - JOUR 
AU  - Fernández Salas, Juan
AU  - Chiachío Ruano, Juan
AU  - Barros, José
AU  - Chiachío Ruano, Manuel
AU  - Kulkarni, Chetan S.
PY  - 2024
UR  - https://hdl.handle.net/10481/90544
AB  - A new physics-guided Bayesian recurrent neural network is proposed in this manuscript. This hybrid algorithm
benefits from the knowledge in physics-based models, the capability of recurrent neural networks to handle
sequential data, and the...
LA  - eng
PB  - Elsevier
KW  - Physics-guided recurrent neural networks
KW  - Approximate Bayesian computation
KW  - Uncertainty quantification
TI  - Physics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
DO  - 10.1016/j.ress.2023.109822
ER  -