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Alternative TitleStudy on the Forecasting Method of Relativistic Electron Flux at Geostationary Orbit Based on Support Vector Machine
王任重; 师立勤; frankwrz@gmail.com
Source Publication空间科学学报
Keyword相对论电子事件 地球同步轨道 支持向量机(Svm)
Other AbstractIn this paper the Support Vector Machine(Classification/Regression) is applied to predict the relativistic electron flux at geostationary orbit.The parameters of model are chosen by Mean Impact Values(MIV),including the electron flux,solar wind speed,solar wind density,Dst index on the previous day and AE index during the preceding two days.This model forecasts the level of relativistic electron flux event and the magnitude of electron flux on the coming day.Based on the comparison with original data in 2008,this model can normally categorize active and quite intervals.For predicting the magnitude of relativistic electron flux,the linear correlation coefficient and prediction efficiency is 0.85 and 0.71;and the model can correctly predict the level of energetic electron enhancement event at most of the time(82%).Our result demonstrates this forecasting technique based on SVM is viable and maybe applicable to other subjects.
Indexed ByCSCD
Funding Project中国科学院空间科学与应用研究中心
Citation statistics
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Corresponding Authorfrankwrz@gmail.com
Recommended Citation
GB/T 7714
王任重,师立勤,frankwrz@gmail.com. 基于支持向量机方法的地球同步轨道相对论电子事件预报模型研究[J]. 空间科学学报,2012,32(3):354-361.
APA 王任重,师立勤,&frankwrz@gmail.com.(2012).基于支持向量机方法的地球同步轨道相对论电子事件预报模型研究.空间科学学报,32(3),354-361.
MLA 王任重,et al."基于支持向量机方法的地球同步轨道相对论电子事件预报模型研究".空间科学学报 32.3(2012):354-361.
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