Huang Xin; Wang Huaning
Source Publicationresearchinastronomyandastrophysics
AbstractThree new longitudinal magnetic field parameters are extracted from SOHO/MDI magnetograms to characterize properties of the stressed magnetic field in active regions, and their flare productivities are calculated for 1055 active regions. We find that the proposed parameters can be used to distinguish flaring samples from non-flaring samples. Using the long-term accumulated MDI data, we build the solar flare prediction model by using a data mining method. Furthermore, the decision boundary, which is used to divide flaring from non-flaring samples, is determined by the decision tree algorithm. Finally, the performance of the prediction model is evaluated by 10-fold cross validation technology. We conclude that an efficient solar flare prediction model can be built by the proposed longitudinal magnetic field parameters with the data mining method.
Document Type期刊论文
First Author AffilicationNational Astronomical Observatories, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Huang Xin,Wang Huaning. solarflarepredictionusinghighlystressedlongitudinalmagneticfieldparameters[J]. researchinastronomyandastrophysics,2013,000(003):351.
APA Huang Xin,&Wang Huaning.(2013).solarflarepredictionusinghighlystressedlongitudinalmagneticfieldparameters.researchinastronomyandastrophysics,000(003),351.
MLA Huang Xin,et al."solarflarepredictionusinghighlystressedlongitudinalmagneticfieldparameters".researchinastronomyandastrophysics 000.003(2013):351.
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