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Automatic classification of stellar spectra using the SOFM method
Xue, JQ; Li, QB; Zhao, YH
2001
发表期刊CHINESE ASTRONOMY AND ASTROPHYSICS
卷号25期号:1页码:120-131
摘要In 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.
关键词Stellar Spectra Spectral Classification Neural Network
收录类别SCI
语种英语
WOS记录号WOS:000167510400015
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.bao.ac.cn/handle/114a11/8602
专题光学天文研究部
作者单位Chinese Acad Sci, Beijing Astron Observ, Beijing 100012, Peoples R China
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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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