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- W2014744913 abstract "Neural networks for predictions of solar-terrestrial effects, such as geomagnetic induced currents (GICs), are presented. The following assumptions are made: the geomagnetic activity is mainly controlled by the southward Bz-component of the solar wind. There are three major solar causes of the southward Bz-components, namely the solar sector boundaries (SSB), the coronal mass ejections (CME) and the coronal holes (CH). The mean GIC size has an exponential relation to the geomagnetic activity index Kp. The neural networks were trained with solar input data from various U.S. data bases: SSB-data from CSSA, Stanford, California, CME-data and solar wind-data from NOAA/SEL, Boulder, Colorado and finally CH-data from SacPeak/AFGL." @default.
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- W2014744913 date "1992-04-01" @default.
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- W2014744913 title "Neural networks and predictions of solar-terrestrial effects" @default.
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- W2014744913 doi "https://doi.org/10.1016/0032-0633(92)90164-j" @default.
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