[10-13] GZHU Research Team's Article Published on The Astrophysical Journal

The article entitled “Fine-grained Solar Flare Forecasting Based on the Hybrid Convolutional Neural Networks” was published on The Astrophysical Journal. It is completed by the National Astronomical Data Center of the Greater Bay Area in Guangzhou University (GZHU) and experts from Kunming University of Science and Technology and Yunnan Observatory Team of Chinese Academy of Sciences. The article is about interdisciplinary research on solar flare prediction and artificial intelligence learning. Based on the current mainstream SDO/HMI radial magnetic map data, a more fine-grained model for predicting the sun is constructed by using the deep learning method and progress has been made in the direction of solar flare prediction.