An ionospheric model in the South China Sea region made by artificial neural network
文献类型:期刊论文
| 作者 | Zeng, W; Zhang, XX; Hu, X; Shen, FX; Wang, YK; Ding, HL; Yan, LS |
| 刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
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| 出版日期 | 1999-09-01 |
| 卷号 | 42期号:5页码:581-589 |
| 关键词 | The South China Sea ionosphere artificial neural network critical frequency ionosphere prediction |
| 英文摘要 | In this paper, a regional ionosphere model in the South China Sea region is built on the basis of artificial neural network. In this model, five variables which stand for the yearly and monthly mean value of F10.7, longitude, latitude and month are selected. Monthly median of ionosphere critical frequency with the length of about 100 years observed at six ionospheric observatories around the region are used to train the network. Comparison of predictions with observations shows that the model can characterize the variation of the critical frequency in this regional ionosphere with time, location and the solar activity level. It is suitable for the prediction of HF communication channels in the South China Sea. |
| WOS标题词 | Science & Technology ; Physical Sciences |
| 类目[WOS] | Geochemistry & Geophysics |
| 研究领域[WOS] | Geochemistry & Geophysics |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000084411300001 |
| 公开日期 | 2015-12-01 |
| 源URL | [http://ir.wipm.ac.cn/handle/112942/8377] ![]() |
| 专题 | 武汉物理与数学研究所_2011年以前论文发表(包括2011年) |
| 作者单位 | 1.Chinese Acad Sci, Wuhan Inst Phys & Math, Wuhan 430071, Peoples R China 2.Haidian Automat Technol Inst, Beijing 100036, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zeng, W,Zhang, XX,Hu, X,et al. An ionospheric model in the South China Sea region made by artificial neural network[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,1999,42(5):581-589. |
| APA | Zeng, W.,Zhang, XX.,Hu, X.,Shen, FX.,Wang, YK.,...&Yan, LS.(1999).An ionospheric model in the South China Sea region made by artificial neural network.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,42(5),581-589. |
| MLA | Zeng, W,et al."An ionospheric model in the South China Sea region made by artificial neural network".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 42.5(1999):581-589. |
入库方式: OAI收割
来源:武汉物理与数学研究所
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