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An attempt to study long-term variation of sporadic E layers using neural networks

文献类型：期刊论文

作者Zuo, Xiaomin1; Wan, Weixing2; Xia, Chunliang3; Zheng, Anshou1
刊名ADVANCES IN SPACE RESEARCH
出版日期2011-05-03
卷号47期号:9页码:1585-1589
关键词Sporadic E layers Neural networks Long-term variation
ISSN号0273-1177
DOI10.1016/j.asr.2011.01.002
文献子类Article
英文摘要Strong positive correlation between sporadic E layers and the solar activity and the long-term declining trend of Es were found in this paper. Then the feed-forward back propagation neural networks (NNs) were used to simulate the long-term variation of Es at four stations and predict foEs yearly average values. The inputs used for NNs are the yearly mean values of foEs in the daytime of the past ten years and the yearly averaged data of solar 10.7 cm radio flux (F107) of the present year, and the output is the present yearly mean value of daytime foEs. The outputs of trained NNs have high correlation with the desired values and the foEs yearly mean values predicted by NNs have good agreement with the observed data. The results indicate that NNs can make full use of the observed data to simulate the long variation rule of Es. Also, the results confirm the effect of solar activity on Es. (C) 2011 COSPAR. Published by Elsevier Ltd . All rights reserved.
WOS关键词TRENDS ; FOF2
WOS研究方向Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000290136800015
出版者ELSEVIER SCI LTD
资助机构National Natural Science Foundation of China(40804039 ; National Natural Science Foundation of China(40804039 ; China University of Geosciences (Wuhan)(CUGL090231) ; China University of Geosciences (Wuhan)(CUGL090231) ; 41004067) ; 41004067) ; National Natural Science Foundation of China(40804039 ; National Natural Science Foundation of China(40804039 ; China University of Geosciences (Wuhan)(CUGL090231) ; China University of Geosciences (Wuhan)(CUGL090231) ; 41004067) ; 41004067) ; National Natural Science Foundation of China(40804039 ; National Natural Science Foundation of China(40804039 ; China University of Geosciences (Wuhan)(CUGL090231) ; China University of Geosciences (Wuhan)(CUGL090231) ; 41004067) ; 41004067) ; National Natural Science Foundation of China(40804039 ; National Natural Science Foundation of China(40804039 ; China University of Geosciences (Wuhan)(CUGL090231) ; China University of Geosciences (Wuhan)(CUGL090231) ; 41004067) ; 41004067)
源URL[http://ir.iggcas.ac.cn/handle/132A11/74554]  
专题中国科学院地质与地球物理研究所
通讯作者Zuo, Xiaomin
作者单位1.China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
3.China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China
推荐引用方式
GB/T 7714		 Zuo, Xiaomin,Wan, Weixing,Xia, Chunliang,et al. An attempt to study long-term variation of sporadic E layers using neural networks[J]. ADVANCES IN SPACE RESEARCH,2011,47(9):1585-1589.
APA Zuo, Xiaomin,Wan, Weixing,Xia, Chunliang,&Zheng, Anshou.(2011).An attempt to study long-term variation of sporadic E layers using neural networks.ADVANCES IN SPACE RESEARCH,47(9),1585-1589.
MLA Zuo, Xiaomin,et al."An attempt to study long-term variation of sporadic E layers using neural networks".ADVANCES IN SPACE RESEARCH 47.9(2011):1585-1589.

入库方式： OAI收割

来源：地质与地球物理研究所

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