Citation: | XIONG Senlin, LI Xinlu, FANG Shaofeng, ZOU Ziming. Research on Solar Proton Event in the 23rd Solar Cycle Using the Machine Learning Methods[J]. Chinese Journal of Space Science, 2021, 41(3): 368-374. doi: 10.11728/cjss2021.03.368 |
[1] |
BALCH C C. SEC proton prediction model: verification and analysis[J]. Radiat. Meas., 1999, 30(3):231-250
|
[2] |
DESAI M I, GIACALONE J. Large gradual solar energetic particle events[J]. Living Rev. Sol. Phys., 2016, 13(1):1-132
|
[3] |
REAMES D V. The two sources of solar energetic particles[J]. Space Sci. Rev., 2013, 175(1):53-92
|
[4] |
DIERCKXSENS M, TZIOTZIOU K, DALLA S, et al. Relationship between solar energetic particles and properties of flares and CMEs: statistical analysis of solar cycle 23 events[J]. Sol. Phys., 2015, 290(3):841-874
|
[5] |
PARK J, MOON Y J, LEE D H, et al. Dependence of solar proton events on their associated activities: flare parameters[J]. J. Geophys. Res., 2010, 115(1):39
|
[6] |
PARK J, MOON Y J, GOPALSWAMY N. Dependence of solar proton events on their associated activities: coronal mass ejection parameters[J]. J. Geophys. Res., 2012, 117(A8):108-115
|
[7] |
XIONG Senlin, CUI Yanmei, LIU Siqing. Research on solar proton event warning with observation data of ACE satellite[J]. Chin. J. Space Sci., 2013, 33(4):387-395(熊森林, 崔延美, 刘四清. 利用ACE卫星数据对太阳质子事件预警方法的研究[J]. 空间科学学报, 2013, 33(4):387-395)
|
[8] |
YASHIRO S, AKIYAMA S, GOPALSWAMY N, et al. Different power-law indices in the frequency distributions of flares with and without coronal mass ejections[J]. Astrophys. J., 2006, 650(2):143-146
|
[9] |
CHAWLA N V, BOWYER K W, HALL L O, et al. Smote: synthetic minority over-sampling technique[J]. J. Artif. Intell. Res., 2002, 16(1):321-357
|