We developed a solar flare prediction model using a deep neural network (DNN) named Deep Flare Net (DeFN). This model can calculate the probability of flares occurring in the following 24 hr in each active region, which is used to determine the most likely maximum classes of flares via a binary classification (e.g., ≥M class versus
CITATION STYLE
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), 113. https://doi.org/10.3847/1538-4357/aab9a7
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