Evaluating data-driven algorithms for predicting mechanical properties with small datasets: A case study on gear steel hardenability
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1869-103X
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Evaluating data-driven algorithms for predicting mechanical properties with small datasets: A case study on gear steel hardenability ; volume:29 ; number:4 ; day:6 ; month:4 ; year:2022 ; pages:836-847 ; date:4.2022
International journal of minerals, metallurgy and materials ; 29, Heft 4 (6.4.2022), 836-847, 4.2022
- Urheber
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Nenchev, Bogdan
Tao, Qing
Dong, Zihui
Panwisawas, Chinnapat
Li, Haiyang
Tao, Biao
Dong, Hongbiao
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s12613-022-2437-0
- URN
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urn:nbn:de:101:1-2022062422085211038860
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
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Beteiligte
- Nenchev, Bogdan
- Tao, Qing
- Dong, Zihui
- Panwisawas, Chinnapat
- Li, Haiyang
- Tao, Biao
- Dong, Hongbiao
- SpringerLink (Online service)
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