Fernández, J., Chiachío, M., Chiachío, J., Muñoz, R., & Herrera, F. (2022). Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Engineering applications of artificial intelligence, 107, 104511. https://doi.org/10.1016/j.engappai.2021.104511
Chicago-Zitierstil (17. Ausg.)Fernández, Juan, Manuel Chiachío, Juan Chiachío, Rafael Muñoz, und Francisco Herrera. "Uncertainty Quantification in Neural Networks by Approximate Bayesian Computation: Application to Fatigue in Composite Materials." Engineering Applications of Artificial Intelligence 107 (2022): 104511. https://doi.org/10.1016/j.engappai.2021.104511.
MLA-Zitierstil (9. Ausg.)Fernández, Juan, et al. "Uncertainty Quantification in Neural Networks by Approximate Bayesian Computation: Application to Fatigue in Composite Materials." Engineering Applications of Artificial Intelligence, vol. 107, 2022, p. 104511, https://doi.org/10.1016/j.engappai.2021.104511.