Neural-fuzzy machine learning approach for the fatigue-creep reliability modeling of SAC305 solder joints
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource, 1 online resource.
- Language
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Englisch
- Bibliographic citation
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Neural-fuzzy machine learning approach for the fatigue-creep reliability modeling of SAC305 solder joints ; volume:13 ; number:1 ; day:26 ; month:5 ; year:2023 ; pages:1-19 ; date:12.2023
Scientific reports ; 13, Heft 1 (26.5.2023), 1-19, 12.2023
- Classification
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Ingenieurwissenschaften und Maschinenbau
- Creator
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Bani Hani, Dania
Al Athamneh, Raed
Abueed, Mohammed
Hamasha, Sa’d
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-32460-4
- URN
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urn:nbn:de:101:1-2023091108274469682672
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bani Hani, Dania
- Al Athamneh, Raed
- Abueed, Mohammed
- Hamasha, Sa’d
- SpringerLink (Online service)