Classification of large-scale stellar spectra based on deep convolutional neural network
文献类型:期刊论文
作者 | Liu, W.2; Zhu, M.2; Dai, C.2; He, D. Y.1; Yao, Jiawen4; Tian, H. F.2; Wang, B. Y.2; Wu, K.2; Zhan, Y.2; Chen, B. -Q.3 |
刊名 | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
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出版日期 | 2019-03-01 |
卷号 | 483期号:4页码:4774-4783 |
关键词 | methods: data analysis methods: statistical techniques: spectroscopic astronomical data bases: miscellaneous stars: statistics |
ISSN号 | 0035-8711 |
DOI | 10.1093/mnras/sty3020 |
英文摘要 | Classification of stellar spectra from voluminous spectra is a very important and challenging task. In order to better classify stellar spectra, inspired by the principle of deep convolutional neural network (CNN), we propose a supervised algorithm for stellar spectra classification based on 1D stellar spectra convolutional neural network (1D SSCNN). In 1D SSCNN, we modify the traditional 2D convolutional neural network into 1 D network to adapt to the spectral classification. On the basis of using convolution algorithm, the spectral features are extracted and used for classification. We first use the stellar spectra data to train a ID SSCNN to obtain a well-trained model, and then we apply the well-trained model to classify the unknown spectra. To evaluate the performance of the proposed algorithms, we apply ID SSCNN to classify three spectral types: F-type spectra, G-type spectra, and K-type spectra and 10 subclasses of K-type spectra: A0-type, A5-type, F0-type, F5-type, G0-type, G5-type, K0-type, K5-type, M0-type, and M5-type spectra from Sloan Digital Sky Survey (SDSS). Our 1D SSCNN algorithm obtain higher classification accuracy compared with support vector machine (SVM), random forest (RF), and artificial neural network (ANN). |
WOS关键词 | DIGITAL SKY SURVEY ; FEATURE-SELECTION ; OBJECT DETECTION ; GAIA ; RECOGNITION |
资助项目 | National Natural Science Foundation of China[41272359] ; Ministry of Land and Resources for the Public Welfare Industry Research Projects[201511079-02] |
WOS研究方向 | Astronomy & Astrophysics |
语种 | 英语 |
WOS记录号 | WOS:000462281900037 |
出版者 | OXFORD UNIV PRESS |
资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Ministry of Land and Resources for the Public Welfare Industry Research Projects |
源URL | [http://ir.bao.ac.cn/handle/114a11/25344] ![]() |
专题 | 中国科学院国家天文台 |
通讯作者 | Liu, W.; Yu, X. C. |
作者单位 | 1.Jinan Informat Engn Sch, Network Engn Teaching & Res Grp, 316 Chaoshan Wangsheren, Jinan 250101, Shandong, Peoples R China 2.Beijing Normal Univ, Coll Informat Sci & Technol, 19 Waida Jie Xinjie Kou, Beijing 100875, Peoples R China 3.Yunnan Univ, South Western Inst Astron Res, Dongwaihuan South Rd, Kunming 650500, Yunnan, Peoples R China 4.Beijing Normal Univ, Dept Astron, 19 Waida Jie Xinjie Kou, Beijing 100875, Peoples R China 5.Chinese Acad Sci, Natl Astron Observ, 20A Datun Rd, Beijing 100012, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, W.,Zhu, M.,Dai, C.,et al. Classification of large-scale stellar spectra based on deep convolutional neural network[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2019,483(4):4774-4783. |
APA | Liu, W..,Zhu, M..,Dai, C..,He, D. Y..,Yao, Jiawen.,...&Yu, X. C..(2019).Classification of large-scale stellar spectra based on deep convolutional neural network.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,483(4),4774-4783. |
MLA | Liu, W.,et al."Classification of large-scale stellar spectra based on deep convolutional neural network".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 483.4(2019):4774-4783. |
入库方式: OAI收割
来源:国家天文台
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