Low-dimensional Convolutional Neural Network for Solar Flares GOES Time-series Classification

@article{Landa2022LowdimensionalCN,
  title={Low-dimensional Convolutional Neural Network for Solar Flares GOES Time-series Classification},
  author={Vlad Landa and Yuval Reuveni},
  journal={The Astrophysical Journal Supplement Series},
  year={2022},
  volume={258}
}
  • Vlad Landa, Y. Reuveni
  • Published 29 January 2021
  • Physics, Computer Science
  • The Astrophysical Journal Supplement Series
Space weather phenomena such as solar flares have a massive destructive power when they reach a certain magnitude. Here, we explore the deep-learning approach in order to build a solar flare-forecasting model, while examining its limitations and feature-extraction ability based on the available Geostationary Operational Environmental Satellite (GOES) X-ray time-series data. We present a multilayer 1D convolutional neural network to forecast the solar flare event probability occurrence of M- and… 
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