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Application of support vector machine combined with K-nearest neighbors in solar flare and solar proton events forecasting
Li, Rong; Cui, Yanmei; He, Han; Wang, Huaning
2008-11-03
Source PublicationADVANCES IN SPACE RESEARCH
Volume42Issue:9Pages:1469-1474
AbstractThe support vector machine (SVM) combined with K-nearest neighbors (KNN), called the SVM-KNN method, is new classing algorithm that take the advantages of the SVM and KNN. This method is applied to the forecasting models for solar flares and proton events. For the solar flare forecasting model, the sunspot area, the sunspot magnetic class, and the McIntosh class of sunspot group and 10 cm solar radio flux are chosen as inputs; for the solar proton event forecasting model, the inputs include the longitude of active regions, the flux of soft X-ray, and those for the solar flare forecasting model. Detailed tests are implemented for both of the proposed forecasting models, in which the SVM-KNN and the SVM methods are compared. The testing results demonstrate that the SVM-KNN method provide a higher forecasting accuracy in contrast to the SVM. It also gives an increased rate of 'Low' prediction at the same time. The 'Low' prediction means occurrence of solar flares or proton events with predictions of non-occurrence. This method show promise for forecasting models of solar flare and proton events. (C) 2008 COSPAR. Published by Elsevier Ltd. All rights reserved.
KeywordFeature Space Prediction Accuracy Separating Hyperplane
DOI10.1016/j.asr.2007.12.015
Indexed BySCI
Language英语
WOS IDWOS:000259931000005
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8336
Collection太阳物理研究部
AffiliationChinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
Recommended Citation
GB/T 7714
Li, Rong,Cui, Yanmei,He, Han,et al. Application of support vector machine combined with K-nearest neighbors in solar flare and solar proton events forecasting[J]. ADVANCES IN SPACE RESEARCH,2008,42(9):1469-1474.
APA Li, Rong,Cui, Yanmei,He, Han,&Wang, Huaning.(2008).Application of support vector machine combined with K-nearest neighbors in solar flare and solar proton events forecasting.ADVANCES IN SPACE RESEARCH,42(9),1469-1474.
MLA Li, Rong,et al."Application of support vector machine combined with K-nearest neighbors in solar flare and solar proton events forecasting".ADVANCES IN SPACE RESEARCH 42.9(2008):1469-1474.
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