中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A comparison of BBN, ADTree and MLP in separating quasars from large survey catalogues

文献类型:期刊论文

作者Zhang, Yan-Xia; Zhao, Yong-Heng
刊名CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS
出版日期2007
卷号7期号:2页码:289-296
关键词astronomical databases : miscellaneous catalogs methods : data analysis methods : statistical
英文摘要We compare the performance of Bayesian Belief Networks (BBN), Multilayer Perception (MLP) networks and Alternating Decision Trees (ADtree) on separating quasars from stars with the database from the 2MASS and FIRST survey catalogs. Having a training sample of sources of known object types, the classifiers are trained to separate quasars from stars. By the statistical properties of the sample, the features important for classification are selected. We compare the classification results with and without feature selection. Experiments show that the results with feature selection are better than those without feature selection. From the high accuracy found, it is concluded that these automated methods are robust and effective for classifying point sources. They may all be applied to large survey projects (e.g. selecting input catalogs) and for other astronomical issues, such as the parameter measurement of stars and the redshift estimation of galaxies and quasars.
收录类别SCI
语种英语
WOS记录号WOS:000246129300013
源URL[http://ir.bao.ac.cn/handle/114a11/7307]  
专题国家天文台_光学天文研究部
作者单位Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Yan-Xia,Zhao, Yong-Heng. A comparison of BBN, ADTree and MLP in separating quasars from large survey catalogues[J]. CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,2007,7(2):289-296.
APA Zhang, Yan-Xia,&Zhao, Yong-Heng.(2007).A comparison of BBN, ADTree and MLP in separating quasars from large survey catalogues.CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,7(2),289-296.
MLA Zhang, Yan-Xia,et al."A comparison of BBN, ADTree and MLP in separating quasars from large survey catalogues".CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS 7.2(2007):289-296.

入库方式: OAI收割

来源:国家天文台

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