Towards robust prediction of material properties for nuclear reactor design under scarce data -- a study in creep rupture property

Advances in Deep Learning bring further investigation into credibility and robustness, especially for safety-critical engineering applications such as the nuclear industry. The key challenges include the availability of data set (often scarce and sparse) and insufficient consideration of the uncerta...

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Bibliographische Detailangaben

Hauptverfasser:	Chen, Yu, Patelli, Edoardo, Yang, Zhen, Lye, Adolphus
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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