Short Term Forecast of the F10.7 Solar Flux Index based on Neural Networks-Reference-Cited by-同舟云学术

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Short Term Forecast of the F10.7 Solar Flux Index based on Neural Networks

Published:2024-03-15 Issue: Volume:63 Page:1227-1230
ISSN:
Container-title:2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
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Author:

Wei Zhanji¹,Li Lifeng¹,Cong Dianwei¹,Yin Yunxia¹,Wan Gang¹

Affiliation:

1. Space Engineering University,School of Space Information,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502391/10503583/10503687.pdf?arnumber=10503687

Reference11 articles.

1. Model Research of 10.7 cm Solar Radio Flux 27-day Forecast

2. short-term prediction of solar F10.7 radiation flux based on deep learning;Yang;Acta Astronomica Sinica,2022

3. Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy

4. Convergence of a modified gradient-based learning algorithm with penalty for single-hidden-layer feed-forward networks

5. <i>F</i><sub>10.7</sub> Index Forecasting Method Based on Area Statistics of Solar Active Regions

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