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. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Spectroscopy |
| 研究领域[WOS] | Spectroscopy |
| 关键词[WOS] | DIGITAL SKY SURVEY ; GALAXIES ; SCHEME |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000253783200057 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9648]  |
| 专题 | 自动化研究所_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 |
| 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：自动化研究所
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