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Application of soft constrained machine learning algorithms..:
He, Jun-Jing
;
Sandström, Rolf
;
Zhang, Jing
.
Journal of Materials Research and Technology. 22 (2023) - p. 923-937 , 2023
Link:
https://doi.org/10.1016/j.jmrt.2022.11.154
RT Journal T1 <Title>Application of soft constrained machine learning algorithms for creep rupture prediction of an austenitic heat resistant steel Sanicro 25</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jmrt.2022.11.154&Exemplar=1&LAN=DE A1 He, Jun-Jing A1 Sandström, Rolf A1 Zhang, Jing A1 Qin, Hai-Ying PB Elsevier BV YR 2023 SN 2238-7854 JF Journal of Materials Research and Technology VO 22 SP 923 OP 937 LK http://dx.doi.org/https://doi.org/10.1016/j.jmrt.2022.11.154 DO https://doi.org/10.1016/j.jmrt.2022.11.154 SF ELIB - SuUB Bremen
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