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Development of New Capabilities Using Machine Learning for Space Weather Prediction

LIU Siqing CHEN Yanhong LUO Bingxian CUI Yanmei ZHONG Qiuzhen WANG Jingjing YUAN Tianjiao HU Qinghua HUANG Xin CHEN Hong

LIU Siqing, CHEN Yanhong, LUO Bingxian, CUI Yanmei, ZHONG Qiuzhen, WANG Jingjing, YUAN Tianjiao, HU Qinghua, HUANG Xin, CHEN Hong. Development of New Capabilities Using Machine Learning for Space Weather Prediction[J]. 空间科学学报, 2020, 40(5): 875-883. doi: 10.11728/cjss2020.05.875
引用本文: LIU Siqing, CHEN Yanhong, LUO Bingxian, CUI Yanmei, ZHONG Qiuzhen, WANG Jingjing, YUAN Tianjiao, HU Qinghua, HUANG Xin, CHEN Hong. Development of New Capabilities Using Machine Learning for Space Weather Prediction[J]. 空间科学学报, 2020, 40(5): 875-883. doi: 10.11728/cjss2020.05.875
LIU Siqing, CHEN Yanhong, LUO Bingxian, CUI Yanmei, ZHONG Qiuzhen, WANG Jingjing, YUAN Tianjiao, HU Qinghua, HUANG Xin, CHEN Hong. Development of New Capabilities Using Machine Learning for Space Weather Prediction[J]. Journal of Space Science, 2020, 40(5): 875-883. doi: 10.11728/cjss2020.05.875
Citation: LIU Siqing, CHEN Yanhong, LUO Bingxian, CUI Yanmei, ZHONG Qiuzhen, WANG Jingjing, YUAN Tianjiao, HU Qinghua, HUANG Xin, CHEN Hong. Development of New Capabilities Using Machine Learning for Space Weather Prediction[J]. Journal of Space Science, 2020, 40(5): 875-883. doi: 10.11728/cjss2020.05.875

Development of New Capabilities Using Machine Learning for Space Weather Prediction

doi: 10.11728/cjss2020.05.875
基金项目: 

Supported by National Natural Science Foundation of China (41574181)

详细信息
    作者简介:

    CHEN Yanhong,E-mail:chenyh@nssc.ac.cn

  • 中图分类号: P353

Development of New Capabilities Using Machine Learning for Space Weather Prediction

Funds: 

Supported by National Natural Science Foundation of China (41574181)

More Information
    Author Bio:

    CHEN Yanhong,E-mail:chenyh@nssc.ac.cn

  • 摘要: With the development of space exploration and space environment measurements, the numerous observations of solar, solar wind, and near Earth space environment have been obtained in last 20 years. The accumulation of multiple data makes it possible to better use machine learning technique, which has achieved unforeseen results in industrial applications in last decades, for developing new approaches and models in space weather investigation and prediction. In this paper, the efforts on the forecasting methods for space weather indices, events, and parameters using machine learning are briefly introduced based on the study works in recent years. These investigations indicate that machine learning, especially deep learning technique can be used in automatic characteristic identification, solar eruption prediction, space weather forecasting for solar and geomagnetic indices, and modeling of space environment parameters.

     

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出版历程
  • 收稿日期:  2020-03-15
  • 刊出日期:  2020-09-15

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