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Zheng, Yanfang, Li, Xuebao, Wang, Xinshuo (2019) Solar Flare Prediction with the Hybrid Deep Convolutional Neural Network. The Astrophysical Journal, 885 (1). 73pp. doi:10.3847/1538-4357/ab46bd

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Reference TypeJournal (article/letter/editorial)
TitleSolar Flare Prediction with the Hybrid Deep Convolutional Neural Network
JournalThe Astrophysical Journal
AuthorsZheng, YanfangAuthor
Li, XuebaoAuthor
Wang, XinshuoAuthor
Year2019 (November 1)Volume885
Issue1
PublisherAmerican Astronomical Society
DOIdoi:10.3847/1538-4357/ab46bdSearch in ResearchGate
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Mindat Ref. ID3552045Long-form Identifiermindat:1:5:3552045:8
GUID0
Full ReferenceZheng, Yanfang, Li, Xuebao, Wang, Xinshuo (2019) Solar Flare Prediction with the Hybrid Deep Convolutional Neural Network. The Astrophysical Journal, 885 (1). 73pp. doi:10.3847/1538-4357/ab46bd
Plain TextZheng, Yanfang, Li, Xuebao, Wang, Xinshuo (2019) Solar Flare Prediction with the Hybrid Deep Convolutional Neural Network. The Astrophysical Journal, 885 (1). 73pp. doi:10.3847/1538-4357/ab46bd
In(2019, November) The Astrophysical Journal Vol. 885 (1) American Astronomical Society

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Li, Xuebao, Zheng, Yanfang, Wang, Xinshuo, Wang, Lulu (2020) Predicting Solar Flares Using a Novel Deep Convolutional Neural Network. The Astrophysical Journal, 891 (1). 10pp. doi:10.3847/1538-4357/ab6d04
Zheng, Yanfang, Li, Xuebao, Si, Yingzhen, Qin, Weishu, Tian, Huifeng (2021) Hybrid deep convolutional neural network with one-versus-one approach for solar flare prediction. Monthly Notices of the Royal Astronomical Society, 507 (3) 3519-3539 doi:10.1093/mnras/stab2132
Deng, Zheng, Wang, Feng, Deng, Hui, Tan, Lei., Deng, Linhua, Feng, Song (2021) Fine-grained Solar Flare Forecasting Based on the Hybrid Convolutional Neural Networks*. The Astrophysical Journal, 922 (2) 232pp. doi:10.3847/1538-4357/ac2b2b
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Li, Ting, Zheng, Yanfang, Li, Xuefeng, Hou, Yijun, Li, Xuebao, Zhang, Yining, Chen, Anqin (2024) Survey of Magnetic Field Parameters Associated with Large Solar Flares. The Astrophysical Journal, 964 (2) 159 doi:10.3847/1538-4357/ad2e90
Park, Eunsu, Moon, Yong-Jae, Shin, Seulki, Yi, Kangwoo, Lim, Daye, Lee, Harim, Shin, Gyungin (2018) Application of the Deep Convolutional Neural Network to the Forecast of Solar Flare Occurrence Using Full-disk Solar Magnetograms. The Astrophysical Journal, 869 (2). 91pp. doi:10.3847/1538-4357/aaed40
Wang, Longqi, Jin, Jing, Jiang, Yu, Shen, Yi (2019) A Method for Weak Pulsar Signal Detection Combining the Bispectrum and a Deep Convolutional Neural Network. The Astrophysical Journal, 873 (1). 17pp. doi:10.3847/1538-4357/ab0308
Guo, Zhiyuan, Martini, Paul (2019) Classification of Broad Absorption Line Quasars with a Convolutional Neural Network. The Astrophysical Journal, 879 (2). 72pp. doi:10.3847/1538-4357/ab2590
Zhu, Gaofei, Lin, Ganghua, Wang, Dongguang, Yang, Xiao (2020) A New Approach for the Regression of the Center Coordinates and Radius of the Solar Disk Using a Deep Convolutional Neural Network. The Astrophysical Journal, 902 (1) 72pp. doi:10.3847/1538-4357/abb2a0
Nishizuka, N., Sugiura, K., Kubo, Y., Den, M., Ishii, M. (2018) Deep Flare Net (DeFN) Model for Solar Flare Prediction. The Astrophysical Journal, 858 (2). 113pp. doi:10.3847/1538-4357/aab9a7
Li, Xuebao, Li, Xuefeng, Zheng, Yanfang, Li, Ting, Yan, Pengchao, Ye, Hongwei, Zhang, Shunhuang, Wang, Xiaotian, Lv, Yongshang, Huang, Xusheng (2025) Prediction of Large Solar Flares Based on SHARP and High-energy-density Magnetic Field Parameters. The Astrophysical Journal Supplement Series, 276 (1). doi:10.3847/1538-4365/ad8b2a
 
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