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Automated stellar classification for large surveys with EKF and RBF neural networks
Bai, L; Guo, P; Hu, ZY
2005-04-01
发表期刊CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS
卷号5期号:2页码:203-210
文章类型Article
摘要An 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.
关键词Methods : Data Analysis Techniques : Spectroscopic Stars : General Galaxies : Stellar Content
WOS标题词Science & Technology ; Physical Sciences
关键词[WOS]EXTENDED KALMAN FILTER ; SPECTRA ; GALAXIES
收录类别SCI
语种英语
WOS研究方向Astronomy & Astrophysics
WOS类目Astronomy & Astrophysics
WOS记录号WOS:000228645800012
引用统计
被引频次:9[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9082
专题09年以前成果
作者单位1.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
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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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