Predicting Coronal Mass Ejections transit times to Earth with neural network

@article{Sudar2016PredictingCM,
  title={Predicting Coronal Mass Ejections transit times to Earth with neural network},
  author={Davor Sudar and Bojan Vrvsnak and Mateja Dumbovi'c},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2016},
  volume={456},
  pages={1542-1548}
}
Predicting transit times of Coronal Mass Ejections (CMEs) from their initial parameters is a very important subject, not only from the scientific perspective, but also because CMEs represent a hazard for human technology. We used a neural network to analyse transit times for 153 events with only two input parameters: initial velocity of the CME, v, and Central Meridian Distance, CMD, of its associated flare. We found that transit time dependence on v is showing a typical drag-like pattern in… 
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