中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The application of adaptive boosting method in automated spectral classification of active galactic nuclei

文献类型:期刊论文

作者Zhao Mei-fang1; Luo A-lie2; Wu Fu-chao1; Zhao Yong-heng2
刊名SPECTROSCOPY AND SPECTRAL ANALYSIS
出版日期2008-02-01
卷号28期号:2页码:472-477
关键词active galactic nuclei(AGN) adaptive boosting (Adaboost) weak classifier classification broad (narrow)-line AGNs
英文摘要Given a set of low-redshift spectra of active galactic nuclei, the wave bands of spectra in the rest frame were intercepted according to the different features of emission lines of broad-line AGNs and narrow-line AGNs, and an adaptive boosting (Adaboost) method was developed to carry out the classification experiments of feature fusion. As a result, the wave band of H alpha and [N II] was confirmed to be the main discriminative feature between broad-line AGNs and narrow-line AGNs. Then based on the wave band of H alpha and [N II], the Adaboost method was used for the spectral classification. In this method, the "weak classifiers" were increased constantly during training until a scheduled error rate or a maximum cycle times was met, then the classification judgment of the consequent collective classifier was determined by the votes of respective judgments of these "weak classifiers". The Adaboost method needs not to adjust parameters in advance and the results of "weak classifiers" are only required to be better than random guessing, so its algorithm is very simple. As proved by the experiments, the adaboost method achieves good performance in the classification just based on the wave band of H alpha and [N II] so that it could be applied effectively to the automatic classification of large amount of AGN spectra from the large-scale spetral surveys.
收录类别SCI
语种英语
WOS记录号WOS:000253783200057
源URL[http://ir.bao.ac.cn/handle/114a11/7425]  
专题国家天文台_光学天文研究部
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
推荐引用方式
GB/T 7714
Zhao Mei-fang,Luo A-lie,Wu Fu-chao,et al. The application of adaptive boosting method in automated spectral classification of active galactic nuclei[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2008,28(2):472-477.
APA Zhao Mei-fang,Luo A-lie,Wu Fu-chao,&Zhao Yong-heng.(2008).The application of adaptive boosting method in automated spectral classification of active galactic nuclei.SPECTROSCOPY AND SPECTRAL ANALYSIS,28(2),472-477.
MLA Zhao Mei-fang,et al."The application of adaptive boosting method in automated spectral classification of active galactic nuclei".SPECTROSCOPY AND SPECTRAL ANALYSIS 28.2(2008):472-477.

入库方式: OAI收割

来源:国家天文台

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