SDUST2023BCO: a global seafloor model determined from multi-layer perceptron neural network using multi-source differential marine geodetic data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: SDUST2023BCO: a global seafloor model determined from multi-layer perceptron neural network using multi-source differential marine geodetic data ; day:28 ; month:08 ; year:2024 ; pages:1-21 ; extent:21
Earth system science data discussions ; (28.08.2024), 1-21 (gesamt 21)

Creator: Zhou, Shuai
Guo, Jinyun
Zhang, Huiying
Jia, Yongjun
Sun, Heping
Liu, Xin
An, Dechao

DOI: 10.5194/essd-2024-358

URN: urn:nbn:de:101:1-2501230324539.643651493977

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:37 AM CEST

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Zhou, Shuai
Guo, Jinyun
Zhang, Huiying
Jia, Yongjun
Sun, Heping
Liu, Xin
An, Dechao

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SDUST2023BCO: a global seafloor model determined from multi-layer perceptron neural network using multi-source differential marine geodetic data

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