Solar flare forecasting based on a Fusion Model
Solar flare prediction is an important subject in the field of space weather. Deep learning technology has greatly promoted the development of this subject. In this study, we propose a novel solar flare forecasting model integrating Deep Residual Network (ResNet) and Support Vector Machine (SVM) for...
Saved in:
Main Authors: | YiYang Li, ShiYong Huang, SiBo Xu, ZhiGang Yuan, Kui Jiang, QiYang Xiong, RenTong Lin |
---|---|
Format: | Article |
Language: | English |
Published: |
Science Press
2025-01-01
|
Series: | Earth and Planetary Physics |
Subjects: | |
Online Access: | http://www.eppcgs.org/article/doi/10.26464/epp2024058?pageType=en |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solar Flare Forecasting Using Hybrid Neural Networks
by: Dan Xu, et al.
Published: (2025-01-01) -
Forecasting the Remaining Duration of an Ongoing Solar Flare
by: Jeffrey W. Reep, et al.
Published: (2021-10-01) -
Knowledge‐Informed Deep Neural Networks for Solar Flare Forecasting
by: Ming Li, et al.
Published: (2022-08-01) -
Investigating the Efficacy of Topologically Derived Time Series for Flare Forecasting. I. Data Set Preparation
by: Thomas Williams, et al.
Published: (2025-01-01) -
The Flare Irradiance Spectral Model‐Version 2 (FISM2)
by: P. C. Chamberlin, et al.
Published: (2020-12-01)