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The application of adaptive boosting method in automated spectral classification of active galactic nuclei
Zhao Mei-fang1; Luo A-lie2; Wu Fu-chao1; Zhao Yong-heng2
2008-02-01
发表期刊SPECTROSCOPY AND SPECTRAL ANALYSIS
卷号28期号:2页码:472-477
文章类型Article
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.
关键词Active Galactic Nuclei(Agn) Adaptive Boosting (Adaboost) Weak Classifier Classification Broad (Narrow)-line Agns
WOS标题词Science & Technology ; Technology
关键词[WOS]DIGITAL SKY SURVEY ; GALAXIES ; SCHEME
收录类别SCI
语种英语
WOS研究方向Spectroscopy
WOS类目Spectroscopy
WOS记录号WOS:000253783200057
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9648
专题09年以前成果
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
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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.
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