Deep temporal convolutional networks for <italic>F</italic><sub>10.7</sub> radiation flux short-term forecasting
Abstract F 10.7 F 10.7 F 10.7 F 10.7 F 10.7 R F 10.7 F 10.7 F 10.7 with a lower root mean square error, a higher correlation coefficient, and a better overall model prediction.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Deep temporal convolutional networks for
F 10.7 radiation flux short-term forecasting ; volume:42 ; number:1 ; year:2024 ; pages:91-101 ; extent:11
Annales geophysicae ; 42, Heft 1 (2024), 91-101 (gesamt 11)
- Urheber
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Wang, Luyao
Zhang, Hua
Zhang, Xiaoxin
Peng, Guangshuai
Li, Zheng
Xu, Xiaojun
- DOI
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10.5194/angeo-42-91-2024
- URN
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urn:nbn:de:101:1-2404180431400.934543792789
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:54 MESZ
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Beteiligte
- Wang, Luyao
- Zhang, Hua
- Zhang, Xiaoxin
- Peng, Guangshuai
- Li, Zheng
- Xu, Xiaojun
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