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Alternative TitleShort-term solar flare forecasting model using datamining technique
李蓉; 崔延美; lirong@bao.ac.cn
Source Publication中国科学. 物理学, 力学, 天文学
Keyword太阳耀斑 黑子数据 预报因子 决策树 分类规则
Other AbstractIn order to study the correlation between the solar and sunspot parameters,a large scale of sunspots is collected,and the productivities with flare are calculated in this paper.After putting the original data into the fitting formula,the normalized data is obtained.Based on these data,decision tress and classification rule are constructed using datamining techniques,which describe concretely the correlation of sunspot and flare.Finally,these two modules give a forecasting about whether burst solar flare in region in future 48 hours.The results show a higher accuracy rate and a lower false alarm rate.
Indexed ByCSCD
Funding Project中国科学院空间科学与应用研究中心
Citation statistics
Cited Times:3[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Authorlirong@bao.ac.cn
Recommended Citation
GB/T 7714
李蓉,崔延美,lirong@bao.ac.cn. 应用数据挖掘技术的短期太阳耀斑预报模型[J]. 中国科学. 物理学, 力学, 天文学,2011,41(11):1342-1350.
APA 李蓉,崔延美,&lirong@bao.ac.cn.(2011).应用数据挖掘技术的短期太阳耀斑预报模型.中国科学. 物理学, 力学, 天文学,41(11),1342-1350.
MLA 李蓉,et al."应用数据挖掘技术的短期太阳耀斑预报模型".中国科学. 物理学, 力学, 天文学 41.11(2011):1342-1350.
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