Knowledge‐Informed Deep Neural Networks for Solar Flare Forecasting-Reference-Cited by-同舟云学术

Knowledge‐Informed Deep Neural Networks for Solar Flare Forecasting

Published:2022-08 Issue:8 Volume:20 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Li Ming¹²³^ORCID,Cui Yanmei¹³^ORCID,Luo Bingxian¹²³^ORCID,Ao Xianzhi¹³^ORCID,Liu Siqing¹²³^ORCID,Wang Jingjing¹³^ORCID,Li Shuxin¹²³,Du Chenxi¹²³,Sun Xiaojing¹²³,Wang Xin¹²³^ORCID

Affiliation:

1. National Space Science Center Chinese Academy of Sciences Beijing China

2. University of Chinese Academy of Sciences Beijing China

3. Key Laboratory of Science and Technology on Environmental Space Situation Awareness Chinese Academy of Sciences Beijing China

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021SW002985

Reference48 articles.

1. Practical Recommendations for Gradient-Based Training of Deep Architectures

2. A Hybrid Supervised/Unsupervised Machine Learning Approach to Solar Flare Prediction

3. The Helioseismic and Magnetic Imager (HMI) Vector Magnetic Field Pipeline: SHARPs – Space-Weather HMI Active Region Patches

4. Identifying Solar Flare Precursors Using Time Series of SDO/HMI Images and SHARP Parameters

5. Correlation between Solar Flare Productivity and Photospheric Magnetic Field Properties II. Magnetic Gradient and Magnetic Shear

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