A new MOX Report entitled “Structure-preserving neural networks in data-driven rheological models” by Parolini, N.; Poiatti, A.; Vene’, J.; Verani, M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/02-2024.pdf Abstract: In this paper we address the importance and the impact of employing structure preserving neural networks […]
Daily Archives: January 16, 2024
1 post