CASIA OpenIR  > 09年以前成果
Automated stellar classification for large surveys with EKF and RBF neural networks
Bai, L; Guo, P; Hu, ZY
Source PublicationCHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS
2005-04-01
Volume5Issue:2Pages:203-210
SubtypeArticle
AbstractAn automated classification technique for large size stellar surveys is proposed. It uses the extended Kalman filter as a feature selector and pre-classifier of the data, and the radial basis function neural networks for the classification. Experiments with real data have shown that the correct classification rate can reach as high as 93%, which is quite satisfactory. When different system models are selected for the extended Kalman filter, the classification results are relatively stable. It is shown that for this particular case the result using extended Kalman filter is better than using principal component analysis.
KeywordMethods : Data Analysis Techniques : Spectroscopic Stars : General Galaxies : Stellar Content
WOS HeadingsScience & Technology ; Physical Sciences
WOS KeywordEXTENDED KALMAN FILTER ; SPECTRA ; GALAXIES
Indexed BySCI
Language英语
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000228645800012
Citation statistics
Cited Times:9[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9082
Collection09年以前成果
Affiliation1.Beijing Normal Univ, Dept Comp Sci, Beijing 100875, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Bai, L,Guo, P,Hu, ZY. Automated stellar classification for large surveys with EKF and RBF neural networks[J]. CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,2005,5(2):203-210.
APA Bai, L,Guo, P,&Hu, ZY.(2005).Automated stellar classification for large surveys with EKF and RBF neural networks.CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,5(2),203-210.
MLA Bai, L,et al."Automated stellar classification for large surveys with EKF and RBF neural networks".CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS 5.2(2005):203-210.
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