Prediction of Length-of-day Using Gaussian Process Regression
文献类型：期刊论文
| 作者 | Lei, Yu1,2; Guo, Min3; Cai, Hongbing1; Hu, Dandan3 ; Zhao, Danning1,2
|
| 刊名 | journal of navigation
 |
| 出版日期 | 2015-05-01 |
| 卷号 | 68期号:3页码:563-575 |
| 关键词 | Length-Of-Day LOD) Prediction Gaussian Process Regression (GPR) |
| 英文摘要 | the predictions of length-of-day (lod) are studied by means of gaussian process regression (gpr). the eop c04 time-series with daily values from the international earth rotation and reference systems service (iers) serve as the data basis. firstly, well known effects that can be described by functional models, for example effects of the solid earth and ocean tides or seasonal atmospheric variations, are removed a priori from the c04 time-series. only the differences between the modelled and actual lod, i.e. the irregular and quasi-periodic variations, are employed for training and prediction. different input patterns are discussed and compared so as to optimise the gpr model. the optimal patterns have been found in terms of the prediction accuracy and efficiency, which conduct the multi-step ahead predictions utilising the formerly predicted values as inputs. finally, the results of the predictions are analysed and compared with those obtained by other prediction methods. it is shown that the accuracy of the predictions are comparable with that of other prediction methods. the developed method is easy to use. |
| WOS标题词 | science & technology ; technology ; physical sciences |
| 类目[WOS] | engineering, marine ; oceanography |
| 研究领域[WOS] | engineering ; oceanography |
| 关键词[WOS] | least-squares ; earth ; parameters |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000352011100010 |
| 公开日期 | 2015-07-28 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/24125]  |
| 专题 | 西安光学精密机械研究所_研究生部 |
| 作者单位 | 1.Chinese Acad Sci, Natl Time Serv Ctr, Beijing 100864, Peoples R China 2.Univ Chinese Acad Sci, Jinan, Peoples R China 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Beijing 100864, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lei, Yu,Guo, Min,Cai, Hongbing,et al. Prediction of Length-of-day Using Gaussian Process Regression[J]. journal of navigation,2015,68(3):563-575. |
| APA | Lei, Yu,Guo, Min,Cai, Hongbing,Hu, Dandan,&Zhao, Danning.(2015).Prediction of Length-of-day Using Gaussian Process Regression.journal of navigation,68(3),563-575. |
| MLA | Lei, Yu,et al."Prediction of Length-of-day Using Gaussian Process Regression".journal of navigation 68.3(2015):563-575. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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