Zhu, Y., & Zabaras, N. (2018). Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification. Journal of computational physics, 366, 415-447. https://doi.org/10.1016/j.jcp.2018.04.018
Chicago-Zitierstil (17. Ausg.)Zhu, Yinhao, und Nicholas Zabaras. "Bayesian Deep Convolutional Encoder–decoder Networks for Surrogate Modeling and Uncertainty Quantification." Journal of Computational Physics 366 (2018): 415-447. https://doi.org/10.1016/j.jcp.2018.04.018.
MLA-Zitierstil (9. Ausg.)Zhu, Yinhao, und Nicholas Zabaras. "Bayesian Deep Convolutional Encoder–decoder Networks for Surrogate Modeling and Uncertainty Quantification." Journal of Computational Physics, vol. 366, 2018, pp. 415-447, https://doi.org/10.1016/j.jcp.2018.04.018.