Deep temporal convolutional networks for <italic>F</italic>10.7 radiation flux short-term forecasting

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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.

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: 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)

Creator: Wang, Luyao
Zhang, Hua
Zhang, Xiaoxin
Peng, Guangshuai
Li, Zheng
Xu, Xiaojun

DOI: 10.5194/angeo-42-91-2024

URN: urn:nbn:de:101:1-2404180431400.934543792789

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

Last update: 12.06.2025, 6:47 AM CEST

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Wang, Luyao
Zhang, Hua
Zhang, Xiaoxin
Peng, Guangshuai
Li, Zheng
Xu, Xiaojun

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Deep temporal convolutional networks for <italic>F</italic><sub>10.7</sub> radiation flux short-term forecasting

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