Non-intrusive reduced-order modeling using uncertainty-aware deep neural networks and proper orthogonal decomposition: Application to flood modeling

Jacquier, Pierre, Abdedou, Azzedine, Delmas, Vincent and Soulaïmani, Azzeddine. 2021. « Non-intrusive reduced-order modeling using uncertainty-aware deep neural networks and proper orthogonal decomposition: Application to flood modeling ». Journal of Computational Physics, vol. 424.
Compte des citations dans Scopus : 44.

The full text of this document is not available here.

Item Type:	Peer reviewed article published in a journal
Professor:	Professor Soulaïmani, Azzeddine
Affiliation:	Génie mécanique
Date Deposited:	12 Nov 2020 21:40
Last Modified:	12 Nov 2020 21:40
URI:	https://espace2.etsmtl.ca/id/eprint/21409

Actions (login required)

View Item