Flare Prediction Method Using Zernike Moments and Support Vector Machine

We developed the FPMZMSVM package for solar flare prediction regarding the method was given by Alipour, Mohammadi, and Safari (2019:ApJS). This package is working in MATLAB workspace. The FPMZMSVM uses the Zernike moments (ZMs) of the active regions (ARs) (extract for line-of-sight magnetograms, ultraviolet (UV), and extreme ultraviolet (EUV) images) and the support vector machine (SVM) classifier. We organized this package for: A graphical user (GU) tool is applied for prediction of the flaring and non-flaring ARs using the line-of-sight magnetograms SDO/HMI, UV and EUV images SDO/AIA. Reproduce the results published in Alipour, Mohammadi, and Safari (2019). The data files and scripts are compressed in FPMZMSVM.tar.gz. We unpack the compressed file FPMZMSVM.tar.gz via the following command: >tar –xvf FPMZMSVM.tar.gz

Related Organizations

University of Zanjan
Iran (Islamic Republic of)

Keywords

Solar Flares, Prediction, Zernike Moments, Support Vector Machine

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