Prediction of the Diagrams of Fatigue Fracture of D16T Aluminum Alloy by the Methods of Machine Learning
In: Materials Science, Jg. 54 (2018-11-01), Heft 3, S. 333-338
Online
academicJournal
Zugriff:
Titel: |
Prediction of the Diagrams of Fatigue Fracture of D16T Aluminum Alloy by the Methods of Machine Learning
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Autor/in / Beteiligte Person: | Yasnii, О. P. ; Pastukh, O. А. ; Pyndus, Yu. І. ; Lutsyk, N. S. ; Didych, I. S. |
Link: | |
Zeitschrift: | Materials Science, Jg. 54 (2018-11-01), Heft 3, S. 333-338 |
Veröffentlichung: | 2018 |
Medientyp: | academicJournal |
ISSN: | 1068-820X (print) ; 1573-885X (print) |
DOI: | 10.1007/s11003-018-0189-9 |
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