Deep Neural Networks Based Solar Flare Prediction Using Compressed Full-disk Line-of-sight Magnetograms
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-04447-2_26
Reference25 articles.
1. Shea, M., Smart, D., McCracken, K., Dreschhoff, G., Spence, H.: Solar proton events for 450 years: the carrington event in perspective. Adv. Space Res. 38(2), 232–238 (2006)
2. Park, E., Moon, Y.J., Shin, S., Yi, K., Lim, D., Lee, H., Shin, G.: Application of the deep convolutional neural network to the forecast of solar flare occurrence using full-disk solar magnetograms. Astrophys. J. 869(2), 91 (2018)
3. Li, X., Zheng, Y., Wang, X., Wang, L.: Predicting solar flares using a novel deep convolutional neural network. Astrophys. J. 891(1), 10 (2020)
4. Fletcher, L., et al.: An observational overview of solar flares. Space Sci. Rev. 159(1–4), 19–106 (2011)
5. Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278–2324 (1998)
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