Prediction of geomagnetic storms from solar wind data with the use of a neural network
An artificial feed-forward neural network with one hidden layer and error back-propagation learning is used to predict the geomagnetic activity index (<i>D<sub>st</sub></i>) one hour in advance. The <i>B<sub>z</sub></i>-component and <i>&#...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
1994-01-01
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Series: | Annales Geophysicae |
Online Access: | https://www.ann-geophys.net/12/19/1994/angeo-12-19-1994.pdf |