Ready-to-use deep-learning surrogate models for problems with spatially variable inputs and outputs
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1861-1133
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Ready-to-use deep-learning surrogate models for problems with spatially variable inputs and outputs ; day:23 ; month:9 ; year:2022 ; pages:1-18
Acta geotechnica ; (23.9.2022), 1-18
- Creator
-
He, Xuzhen
Xu, Haoding
Sheng, Daichao
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1007/s11440-022-01706-2
- URN
-
urn:nbn:de:101:1-2022121011513182739305
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:22 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- He, Xuzhen
- Xu, Haoding
- Sheng, Daichao
- SpringerLink (Online service)
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