Nikolopoulos, S., Kalogeris, I., & Papadopoulos, V. (2022). Non-intrusive surrogate modeling for parametrized time-dependent partial differential equations using convolutional autoencoders. Engineering applications of artificial intelligence, 109, 104652. https://doi.org/10.1016/j.engappai.2021.104652
Chicago-Zitierstil (17. Ausg.)Nikolopoulos, Stefanos, Ioannis Kalogeris, und Vissarion Papadopoulos. "Non-intrusive Surrogate Modeling for Parametrized Time-dependent Partial Differential Equations Using Convolutional Autoencoders." Engineering Applications of Artificial Intelligence 109 (2022): 104652. https://doi.org/10.1016/j.engappai.2021.104652.
MLA-Zitierstil (9. Ausg.)Nikolopoulos, Stefanos, et al. "Non-intrusive Surrogate Modeling for Parametrized Time-dependent Partial Differential Equations Using Convolutional Autoencoders." Engineering Applications of Artificial Intelligence, vol. 109, 2022, p. 104652, https://doi.org/10.1016/j.engappai.2021.104652.