Solar flare forecasting using learning vector quantity and unsupervised clustering techniques
文献类型:期刊论文
作者 | Li Rong1; Wang HuaNing2![]() ![]() |
刊名 | SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY
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出版日期 | 2011-08-01 |
卷号 | 54期号:8页码:1546-1552 |
关键词 | photospheric magnetic field sliding-windows unsupervised clustering learning vector quantity (LVQ) |
英文摘要 | In this paper, a combined method of unsupervised clustering and learning vector quantity (LVQ) is presented to forecast the occurrence of solar flare. Three magnetic parameters including the maximum horizontal gradient, the length of the neutral line, and the number of singular points are extracted from SOHO/MDI longitudinal magnetograms as measures. Based on these parameters, the sliding-window method is used to form the sequential data by adding three days evolutionary information. Considering the imbalanced problem in dataset, the K-means clustering, as an unsupervised clustering algorithm, is used to convert imbalanced data to balanced ones. Finally, the learning vector quantity is employed to predict the flares level within 48 hours. Experimental results indicate that the performance of the proposed flare forecasting model with sequential data is improved. |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000292928900029 |
源URL | [http://ir.bao.ac.cn/handle/114a11/8381] ![]() |
专题 | 国家天文台_太阳物理研究部 |
作者单位 | 1.Beijing WuZi Univ, Sch Informat, Beijing 101149, Peoples R China 2.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China 3.Chinese Acad Sci, Ctr Space Sci & Appl Res, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Li Rong,Wang HuaNing,Cui YanMei,et al. Solar flare forecasting using learning vector quantity and unsupervised clustering techniques[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,2011,54(8):1546-1552. |
APA | Li Rong,Wang HuaNing,Cui YanMei,&Huang Xin.(2011).Solar flare forecasting using learning vector quantity and unsupervised clustering techniques.SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,54(8),1546-1552. |
MLA | Li Rong,et al."Solar flare forecasting using learning vector quantity and unsupervised clustering techniques".SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY 54.8(2011):1546-1552. |
入库方式: OAI收割
来源:国家天文台
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