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Alternative TitleOnline prediction model for energetic electron flux at geostationary orbit
刘帅; 李智; 林瑞淋; 龚建村; 刘四清; Li, Zhi (lizhizys@126.com)
Source Publication国防科技大学学报
Keyword粒子群优化算法 最小二乘支持向量机 变量选择 互信息 距离相关系数 高能电子通量
Other AbstractAn online prediction model for the energetic electron flux at the geostationary orbit was built based on the PSO (particle swarm optimization) algorithm and the LSSVM (least squares support vector machines) method. To overcome the premature convergence problem in PSO, a new diversity measure was put forward. The improved PSO was utilized to optimize the LSSVM's parameters. Through a sliding time window strategy, a variable selection invoking threshold and a model re-training mechanism, the online characteristic of the model was realized. 1~3 day ahead prediction experiments were done on the basis of the electron flux data, solar wind parameters and geomagnetic parameters in 2000, and the analysis results show that the proposed online PSO-LSSVM model works well and has practicable value for prediction. © 2016, NUDT Press. All right reserved.
Indexed ByEI ; CSCD
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Document Type期刊论文
Corresponding AuthorLi, Zhi (lizhizys@126.com)
Recommended Citation
GB/T 7714
刘帅,李智,林瑞淋,等. 地球静止轨道高能电子通量在线预测模型[J]. 国防科技大学学报,2016,38(2):117-122.
APA 刘帅,李智,林瑞淋,龚建村,刘四清,&Li, Zhi .(2016).地球静止轨道高能电子通量在线预测模型.国防科技大学学报,38(2),117-122.
MLA 刘帅,et al."地球静止轨道高能电子通量在线预测模型".国防科技大学学报 38.2(2016):117-122.
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