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Automatic classification of stellar spectra using the SOFM method
Xue, JQ; Li, QB; Zhao, YH
2001
Source PublicationCHINESE ASTRONOMY AND ASTROPHYSICS
Volume25Issue:1Pages:120-131
AbstractIn this paper, an automatic classification method of stellar spectra using the Self-Organization Feature Mapping (SOFM) method is given. The SOFM is an unsupervised learning algorithm of Artificial Neural Network (ANN). It allows the data organized onto a feature graph while conserving most of the topological characters of the original data space. We used this method to classify stellar spectra automatically. The result is very similar to the Harvard sequence with an accuracy comparable to that obtained by human experts. The SOFM should be a useful method for on-line classification of stellar spectrum samples of very large size. The SOFM can be executed automatically so it call be applied to process large numbers of target spectra.
KeywordStellar Spectra Spectral Classification Neural Network
Indexed BySCI
Language英语
WOS IDWOS:000167510400015
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/8602
Collection光学天文研究部
AffiliationChinese Acad Sci, Beijing Astron Observ, Beijing 100012, Peoples R China
Recommended Citation
GB/T 7714
Xue, JQ,Li, QB,Zhao, YH. Automatic classification of stellar spectra using the SOFM method[J]. CHINESE ASTRONOMY AND ASTROPHYSICS,2001,25(1):120-131.
APA Xue, JQ,Li, QB,&Zhao, YH.(2001).Automatic classification of stellar spectra using the SOFM method.CHINESE ASTRONOMY AND ASTROPHYSICS,25(1),120-131.
MLA Xue, JQ,et al."Automatic classification of stellar spectra using the SOFM method".CHINESE ASTRONOMY AND ASTROPHYSICS 25.1(2001):120-131.
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