Prediction of the fatigue crack growth diagrams of D16T aluminum alloy by the methods of machine learnin

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Datum:2018
Hauptverfasser: O. P. Yasnii, O. A. Pastukh, Yu. I. Pyndus, N. S. Lutsyk, I. S. Didych
Format: Artikel
Sprache:English
Veröffentlicht: 2018
Schriftenreihe:Materials Science (Physicochemical mechanics of materials)
Online Zugang:http://jnas.nbuv.gov.ua/article/UJRN-0000886728
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Назва журналу:Library portal of National Academy of Sciences of Ukraine | LibNAS

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spelling open-sciencenbuvgovua-272812024-02-27T21:47:21Z Prediction of the fatigue crack growth diagrams of D16T aluminum alloy by the methods of machine learnin O. P. Yasnii O. A. Pastukh Yu. I. Pyndus N. S. Lutsyk I. S. Didych 0430-6252 2018 en Materials Science (Physicochemical mechanics of materials) http://jnas.nbuv.gov.ua/article/UJRN-0000886728 Article
institution Library portal of National Academy of Sciences of Ukraine | LibNAS
collection Open-Science
language English
series Materials Science (Physicochemical mechanics of materials)
spellingShingle Materials Science (Physicochemical mechanics of materials)
O. P. Yasnii
O. A. Pastukh
Yu. I. Pyndus
N. S. Lutsyk
I. S. Didych
Prediction of the fatigue crack growth diagrams of D16T aluminum alloy by the methods of machine learnin
format Article
author O. P. Yasnii
O. A. Pastukh
Yu. I. Pyndus
N. S. Lutsyk
I. S. Didych
author_facet O. P. Yasnii
O. A. Pastukh
Yu. I. Pyndus
N. S. Lutsyk
I. S. Didych
author_sort O. P. Yasnii
title Prediction of the fatigue crack growth diagrams of D16T aluminum alloy by the methods of machine learnin
title_short Prediction of the fatigue crack growth diagrams of D16T aluminum alloy by the methods of machine learnin
title_full Prediction of the fatigue crack growth diagrams of D16T aluminum alloy by the methods of machine learnin
title_fullStr Prediction of the fatigue crack growth diagrams of D16T aluminum alloy by the methods of machine learnin
title_full_unstemmed Prediction of the fatigue crack growth diagrams of D16T aluminum alloy by the methods of machine learnin
title_sort prediction of the fatigue crack growth diagrams of d16t aluminum alloy by the methods of machine learnin
publishDate 2018
url http://jnas.nbuv.gov.ua/article/UJRN-0000886728
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AT yuipyndus predictionofthefatiguecrackgrowthdiagramsofd16taluminumalloybythemethodsofmachinelearnin
AT nslutsyk predictionofthefatiguecrackgrowthdiagramsofd16taluminumalloybythemethodsofmachinelearnin
AT isdidych predictionofthefatiguecrackgrowthdiagramsofd16taluminumalloybythemethodsofmachinelearnin
first_indexed 2025-07-17T14:55:58Z
last_indexed 2025-07-17T14:55:58Z
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