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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
Source PublicationSPECTROSCOPY AND SPECTRAL ANALYSIS
2008-02-01
Volume28Issue:2Pages:472-477
SubtypeArticle
AbstractGiven 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.
KeywordActive Galactic Nuclei(Agn) Adaptive Boosting (Adaboost) Weak Classifier Classification Broad (Narrow)-line Agns
WOS HeadingsScience & Technology ; Technology
WOS KeywordDIGITAL SKY SURVEY ; GALAXIES ; SCHEME
Indexed BySCI
Language英语
WOS Research AreaSpectroscopy
WOS SubjectSpectroscopy
WOS IDWOS:000253783200057
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9648
Collection09年以前成果
Affiliation1.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
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
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.
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