Comparative analysis of machine learning models for solar flare prediction-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Comparative analysis of machine learning models for solar flare prediction

Published:2023-07 Issue:7 Volume:368 Page:
ISSN:0004-640X
Container-title:Astrophysics and Space Science
language:en
Short-container-title:Astrophys Space Sci

Author:

Zheng Yanfang,Qin Weishu,Li Xuebao,Ling Yi,Huang Xusheng,Li Xuefeng,Yan Pengchao,Yan Shuainan,Lou Hengrui

Publisher

Springer Science and Business Media LLC

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://link.springer.com/content/pdf/10.1007/s10509-023-04209-y.pdf

Reference34 articles.

1. Ahmed, O.W., Qahwaji, R., Colak, T., Higgins, P.A., Gallagher, P.T., Bloomfield, D.S.: Solar flare prediction using advanced feature extraction, machine learning, and feature selection. Sol. Phys. 283(1), 157–175 (2013)

2. Bloomfield, D.S., Higgins, P.A., McAteer, R.J., Gallagher, P.T.: Toward reliable benchmarking of solar flare forecasting methods. Astrophys. J. Lett. 747(2), L41 (2012)

3. Bobra, M.G., Couvidat, S.: Solar flare prediction using SDO/HMI vector magnetic field data with a machine-learning algorithm. Astrophys. J. 798(2), 135 (2015)

4. Bobra, M.G., Ilonidis, S.: Predicting coronal mass ejections using machine learning methods. Astrophys. J. 821(2), 127 (2016)

5. Bobra, M.G., Sun, X., Hoeksema, J.T., Turmon, M., Liu, Y., Hayashi, K., et al.: The Helioseismic and Magnetic Imager (HMI) vector magnetic field pipeline: SHARPs–space-weather HMI active region patches. Sol. Phys. 289(9), 3549–3578 (2014)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Time Series of Magnetic Field Parameters of Merged MDI and HMI Space-weather Active Region Patches as Potential Tool for Solar Flare Forecasting;The Astrophysical Journal;2024-09-01

2. The influence of magnetic field parameters and time step on deep learning models of solar flare prediction;Astrophysics and Space Science;2024-05

3. Prediction of ionospheric TEC by LSTM and OKSM during M class solar flares occurred during the year 2023;Astrophysics and Space Science;2024-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3