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scopus(6)
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:scopusUncertainty quantification in ultrasonic guided-waves based damage localization
Conference ObjectAbstract: Bayesian methods for inverse problems offer higher robustness to noise and uncertainty than determinPalabras claves:Bayesian inverse problem, Damage localization, Guided waves, Hyper-robust model, SHM, Ultrasound, uncertainty quantificationAutores:Cantero-Chinchilla S., Chronopoulos D., de la Escalera F.M., Essa Y., Jones A., Juan Chiachío, Ruano M.C.Fuentes:scopusPhysics-guided Bayesian neural networks by ABC-SS: Application to reinforced concrete columns
ArticleAbstract: This manuscript proposes a physics-guided Bayesian neural network, which combines Approximate-BayesiPalabras claves:Approximate Bayesian Computation, Hybrid models, Physics-guided neural networks, Shear-capacity evaluation, uncertainty quantificationAutores:Corbetta M., Fernández J., José Barros, Juan Chiachío, Ruano M.C.Fuentes:scopusPhysics-guided recurrent neural network trained with approximate Bayesian computation: A case study on structural response prognostics
ArticleAbstract: A new physics-guided Bayesian recurrent neural network is proposed in this manuscript. This hybrid aPalabras claves:Approximate Bayesian Computation, forecasting, Physics-guided recurrent neural networks, Structural Health Monitoring, uncertainty quantificationAutores:Chetan S. Kulkarni, Fernández J., José Barros, Juan Chiachío, Ruano M.C.Fuentes:scopusA Bayesian framework for mechanical characterization of unstabilized rammed earth reinforced with polypropylene fibers
ArticleAbstract: Unstabilized rammed earth reinforced with fibers is being explored as an alternative to chemical staPalabras claves:Bayesian inverse problem, flexural strength, Micro polypropylene fibers reinforcement, Probabilistic model calibration, Ultrasonic pulse velocity, uncertainty quantification, Uniaxial compressive strength, Unstabilized rammed earthAutores:Álvaro Blanca-Hoyos, Esther Puertas, Jalón M.L., Juan Chiachío, Majdi Al ShdifatFuentes:scopusTraining of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries
ArticleAbstract: The current surge in the need for Li-ion batteries to power electric vehicles has also translated inPalabras claves:Bayesian training, Li-ion batteries, Physics-informed neural networks, Prognostics, uncertainty quantificationAutores:Chetan S. Kulkarni, Corbetta M., Fernández J., Juan Chiachío, Ruano M.C.Fuentes:scopus