Yao, J., Xu, F., Qian, Z., Cai, Z., Zhejiang Provincial Basic Public Welfare Research Project, & General Scientific Research Project of the Zhejiang Provincial Department of Education. (2023). A Forecast-Refinement Neural Network Based on Dy Conv GRU and U-Net for Radar Echo Extrapolation. IEEE Access ; Volume 11, Page 53249-53261 ; ISSN 2169-3536. https://doi.org/10.1109/access.2023.3280932
ISO-690 (author-date, English)YAO, Jinliang, XU, Feifan, QIAN, Zheng, CAI, Zhipeng, ZHEJIANG PROVINCIAL BASIC PUBLIC WELFARE RESEARCH PROJECT und GENERAL SCIENTIFIC RESEARCH PROJECT OF THE ZHEJIANG PROVINCIAL DEPARTMENT OF EDUCATION, 2023. A Forecast-Refinement Neural Network Based on Dy Conv GRU and U-Net for Radar Echo Extrapolation. IEEE Access ; volume 11, page 53249-53261 ; ISSN 2169-3536. 1 Januar 2023. DOI 10.1109/access.2023.3280932.
Modern Language Association 9th editionYao, J., F. Xu, Z. Qian, Z. Cai, Zhejiang Provincial Basic Public Welfare Research Project, und General Scientific Research Project of the Zhejiang Provincial Department of Education. „A Forecast-Refinement Neural Network Based on Dy Conv GRU and U-Net for Radar Echo Extrapolation“. IEEE Access ; Volume 11, Page 53249-53261 ; ISSN 2169-3536, Januar 2023, https://doi.org/10.1109/access.2023.3280932.
Mohr Siebeck - Recht (Deutsch - Österreich)Yao, Jinliang/Xu, Feifan/Qian, Zheng/Cai, Zhipeng/Zhejiang Provincial Basic Public Welfare Research Project/General Scientific Research Project of the Zhejiang Provincial Department of Education: A Forecast-Refinement Neural Network Based on Dy Conv GRU and U-Net for Radar Echo Extrapolation, IEEE Access ; volume 11, page 53249-53261 ; ISSN 2169-3536 2023,
Emerald - HarvardYao, J., Xu, F., Qian, Z., Cai, Z., Zhejiang Provincial Basic Public Welfare Research Project und General Scientific Research Project of the Zhejiang Provincial Department of Education. (2023), „A Forecast-Refinement Neural Network Based on Dy Conv GRU and U-Net for Radar Echo Extrapolation“, IEEE Access ; Volume 11, Page 53249-53261 ; ISSN 2169-3536, verfügbar unter:https://doi.org/10.1109/access.2023.3280932.