Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1433-3015
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel ; volume:109 ; number:5-6 ; day:15 ; month:7 ; year:2020 ; pages:1385-1395 ; date:7.2020
The international journal of advanced manufacturing technology ; 109, Heft 5-6 (15.7.2020), 1385-1395, 7.2020
- Creator
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Mrzygłód, Barbara
Hawryluk, Marek
Janik, Marta
Olejarczyk-Wożeńska, Izabela
- Contributor
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SpringerLink (Online service)
- DOI
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10.1007/s00170-020-05641-y
- URN
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urn:nbn:de:101:1-2020091918495716571509
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:04 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Mrzygłód, Barbara
- Hawryluk, Marek
- Janik, Marta
- Olejarczyk-Wożeńska, Izabela
- SpringerLink (Online service)
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The application of a new, innovative, hybrid technology combining hardfacing and nitriding to increase the durability of forging tools
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