Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network

doi:10.1029/2018SW001955

NSSC OpenIR > 空间科学部

	Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network
	Yang, Yi; Shen, Fang; Yang, Zicai; Feng, Xueshang
作者部门	空间科学部
发表期刊	SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS
	2018
卷号	16 期号:9 页码:1227-1244
DOI	10.1029/2018SW001955
ISSN	1542-7390
语种	英语
摘要	A hybrid intelligent source surface model applying the artificial neural network tactic for solar wind speed prediction is presented in this paper. The model is a hybrid system merging various observational and theoretical information as input. Different inputs are tested including individual parameters and their combinations in order to select an optimum. Then, the optimal model is implemented for prediction. The prediction is validated by both error analysis and event-based analysis from 2007 to 2016. The overall correlation coefficient is 0.74, and the root-mean-square error is 68 km/s. The probability for detecting a high-speed-event is 0.68, the positive predicted value is 0.73, and the threat score is 0.55.
收录类别	SCI
引用统计
文献类型	期刊论文
条目标识符	http://ir.nssc.ac.cn/handle/122/6567
专题	空间科学部
推荐引用方式 GB/T 7714	Yang, Yi,Shen, Fang,Yang, Zicai,et al. Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network[J]. SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS,2018,16(9):1227-1244.
APA	Yang, Yi,Shen, Fang,Yang, Zicai,&Feng, Xueshang.(2018).Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network.SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS,16(9),1227-1244.
MLA	Yang, Yi,et al."Prediction of Solar Wind Speed at 1 AU Using an Artificial Neural Network".SPACE WEATHER-THE INTERNATIONAL JOURNAL OF RESEARCH AND APPLICATIONS 16.9(2018):1227-1244.

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