Predicting geomagnetic storms from solar-wind data using time-delay neural networks

Predicting geomagnetic storms from solar-wind data using time-delay neural networks

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We have used time-delay feed-forward neural networks to compute the geomagnetic-activity index <i>D<sub>st</sub></i> one hour ahead from a temporal sequence of solar-wind data. The input data include solar-wind density <i>n&lt...

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Bibliographic Details
Main Authors:	H. Gleisner, H. Lundstedt, P. Wintoft
Format:	Article
Language:	English
Published:	Copernicus Publications
Series:	Annales Geophysicae
Online Access:	http://www.ann-geophys.net/14/679/1996/angeo-14-679-1996.html

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