中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing

文献类型:期刊论文

作者Bu, Yude1,2; Zhao, Gang1; Luo, A-li1; Pan, Jingchang3; Chen, Yuqin1
刊名ASTRONOMY & ASTROPHYSICS
出版日期2015-04-01
卷号576
关键词methods: statistical methods: data analysis methods: numerical
英文摘要Context. Principal component analysis (PCA) is widely used to repair incomplete spectra, to perform spectral denoising, and to reduce dimensionality. Presently, no method has been found to be comparable to PCA on these three problems. New methods have been proposed, but are often specific to one problem. For example, locally linear embedding outperforms PCA in dimensionality reduction. However, it cannot be used in spectral denoising and spectral reparing. Wavelet transform can be used to denoise spectra; however, it cannot be used in dimensionality reduction.
收录类别SCI
语种英语
WOS记录号WOS:000357274600031
源URL[http://ir.bao.ac.cn/handle/114a11/5661]  
专题国家天文台_光学天文研究部
作者单位1.Chinese Acad Sci, Natl Astron Observ, Key Lab Opt Astron, Beijing 100012, Peoples R China
2.Shandong Univ, Sch Math & Stat, Weihai 264209, Shandong, Peoples R China
3.Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Shandong, Peoples R China
推荐引用方式
GB/T 7714
Bu, Yude,Zhao, Gang,Luo, A-li,et al. Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing[J]. ASTRONOMY & ASTROPHYSICS,2015,576.
APA Bu, Yude,Zhao, Gang,Luo, A-li,Pan, Jingchang,&Chen, Yuqin.(2015).Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing.ASTRONOMY & ASTROPHYSICS,576.
MLA Bu, Yude,et al."Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing".ASTRONOMY & ASTROPHYSICS 576(2015).

入库方式: OAI收割

来源:国家天文台

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