Stellar Spectra Classification with Entropy-Based Learning Machine
文献类型：期刊论文
| 作者 | Liu Zhong-bao2; Fu Li-zhen2; Ren Juan-juan1; Song Wen-ai2; Kong Xiao1 ; Zhang Jing2
|
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2018-02-01 |
| 卷号 | 38期号:2页码:660-664 |
| 关键词 | Data Mining Stellar Spectra Classification Entropy Sloan Digital Sky Survey (Sdss) |
| DOI | 10.3964/j.issn.1000-0593(2018)02-0660-05 |
| 文献子类 | Article |
| 英文摘要 | Data mining are widely used in the stellar spectra classification. In order to improve the efficiencies of traditional spectra classification methods, Entropy-based Learning Machine (ELM) was proposed in this paper. The entropy was used to describe the uncertainty of classification in ELM. In order to obtain the desired classification efficiencies, the classification uncertainty should be minimized, based on which, we can obtain the optimization problem of ELM. It can be verified that ELM performs well in the binary classification and in the rare spectra mining. Several comparative experiments on the 4 subclasses of K-type spectra, 3 subclasses of F-type spectra and 3 subclasses of G-type spectra from Sloan Digital Sky Survey (SDSS) verified that ELM performs better than kNN (k Nearest Neighbor) and SVM (Support Vector Machine) in dealing with the problem of stellar spectra classification on the SDSS datasets. |
| WOS研究方向 | Spectroscopy |
| 语种 | 英语 |
| WOS记录号 | WOS:000426142100054 |
| 资助机构 | Nature Science Foundation of Shanx(201601D011042) ; Nature Science Foundation of Shanx(201601D011042) ; Program for the Outstanding Innovative Team of High Learning Learning Instituttions of Shanxi, Outstanding Youth Funds of North University of China ; Program for the Outstanding Innovative Team of High Learning Learning Instituttions of Shanxi, Outstanding Youth Funds of North University of China ; Nature Science Foundation of Shanx(201601D011042) ; Nature Science Foundation of Shanx(201601D011042) ; Program for the Outstanding Innovative Team of High Learning Learning Instituttions of Shanxi, Outstanding Youth Funds of North University of China ; Program for the Outstanding Innovative Team of High Learning Learning Instituttions of Shanxi, Outstanding Youth Funds of North University of China |
| 源URL | [http://ir.bao.ac.cn/handle/114a11/20302]  |
| 专题 | 国家天文台_光学天文研究部 |
| 作者单位 | 1.Chinese Acad Sci, Key Lab Opt Astron, Natl Astron Observ, Beijing 100012, Peoples R China 2.North Univ China, Sch Software, Taiyuan 030051, Shanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu Zhong-bao,Fu Li-zhen,Ren Juan-juan,et al. Stellar Spectra Classification with Entropy-Based Learning Machine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2018,38(2):660-664. |
| APA | Liu Zhong-bao,Fu Li-zhen,Ren Juan-juan,Song Wen-ai,Kong Xiao,&Zhang Jing.(2018).Stellar Spectra Classification with Entropy-Based Learning Machine.SPECTROSCOPY AND SPECTRAL ANALYSIS,38(2),660-664. |
| MLA | Liu Zhong-bao,et al."Stellar Spectra Classification with Entropy-Based Learning Machine".SPECTROSCOPY AND SPECTRAL ANALYSIS 38.2(2018):660-664. |
入库方式： OAI收割
来源：国家天文台
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