Predicting coronal mass ejections transit times to Earth with neural network
Predicting transit times (TT) 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 (NN) to analyse TT for 153 events with only two...
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Published in | Monthly notices of the Royal Astronomical Society Vol. 456; no. 2; pp. 1542 - 1548 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
London
Oxford University Press
21.02.2016
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Subjects | |
Online Access | Get full text |
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