Multi-Task Learning for Design Under Uncertainty With Multi-Fidelity Partially Observed Information

The assessment of system performance and identification of failure mechanisms in complex engineering systems often requires the use of computation-intensive finite element software or physical experiments, which are both costly and time-consuming. Moreover, when accounting for uncertainties in the m...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of mechanical design (1990) 2024-08, Vol.146 (8)
Hauptverfasser:	Xu, Yanwen, Wu, Hao, Liu, Zheng, Wang, Pingfeng, Li, Yumeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Design for Manufacturing
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!