中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic classification of stellar spectra using the SOFM method

文献类型:期刊论文

作者Xue, JQ; Li, QB; Zhao, YH
刊名CHINESE ASTRONOMY AND ASTROPHYSICS
出版日期2001
卷号25期号:1页码:120-131
关键词stellar spectra spectral classification neural network
英文摘要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.
收录类别SCI
语种英语
WOS记录号WOS:000167510400015
源URL[http://ir.bao.ac.cn/handle/114a11/8602]  
专题国家天文台_光学天文研究部
作者单位Chinese Acad Sci, Beijing Astron Observ, Beijing 100012, Peoples R China
推荐引用方式
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.

入库方式: OAI收割

来源:国家天文台

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