Prediction of SYM-H index by NARX neural network from IMF and solar wind data |
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Authors: | Lei Cai ShuYing Ma HongTao Cai YunLiang Zhou RuoSi Liu |
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Affiliation: | CAI Lei,MA ShuYing,CAI HongTao,ZHOU YunLiang & LIU RuoSi Department of Space Physics,College of Electronic Information,Wuhan University,Wuhan 430079,China |
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Abstract: | SYM-H is one of the important indices for space weather. It indicates the intensity of magnetic storm, similarly to Dst index but with much higher time-resolution. In this paper an artificial neural network (ANN) of Nonlinear Auto Regressive with eXogenous inputs (NARX) has been developed to predict SYM-H index from solar wind and IMF data. In comparison with usual BP and Elman network, the new NRAX model shows much better prediction capability. For 15 testing great storms including 5 super-storms of Min. S... |
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Keywords: | magnetic storm SYM-H index space weather prediction artificial neural network |
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