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Automated recognition of quasars based on adaptive radial basis function neural networks
Zhao, MF; Luo, AL; Wu, FC; Hu, ZY
2006-02-01
发表期刊SPECTROSCOPY AND SPECTRAL ANALYSIS
卷号26期号:2页码:377-381
文章类型Article
摘要Recognizing and certifying quasars through the research on spectra is an important method in the field of astronomy. This paper presents a novel adaptive method for the automated recognition of quasars based on the radial basis function neural networks (RBFN). The proposed method is composed of the following three parts: (1) The feature space is reduced by the PCA (the principal component analysis) on the normalized input spectra; (2) An adaptive RBFN is constructed and trained in this reduced space. At first, the K-means clustering is used for the initialization, then based on the sum of squares errors and a gradient descent optimization technique, the number of neurons in the hidden layer is adaptively increased to improve the recognition performance; (3) The quasar spectra recognition is effectively carried out by the above trained RBFN. The author's proposed adaptive RBFN is shown to be able to not only overcome the difficulty of selecting the number of neurons in hidden layer of the traditional RBFN algorithm, but also increase the stability and accuracy of recognition of quasars. Besides, the proposed method is particularly useful for automatic voluminous spectra processing produced from a large-scale sky survey project, such as our LAMOST, due to its efficiency.
关键词Galaxy Quasar Principal Component Analysis(Pca) Radial Basis Function Neural Networks K-means Clustering Gradient Descent
WOS标题词Science & Technology ; Technology
关键词[WOS]GALAXIES ; PCA
收录类别SCI
语种英语
WOS研究方向Spectroscopy
WOS类目Spectroscopy
WOS记录号WOS:000235638800045
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9198
专题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
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Zhao, MF,Luo, AL,Wu, FC,et al. Automated recognition of quasars based on adaptive radial basis function neural networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2006,26(2):377-381.
APA Zhao, MF,Luo, AL,Wu, FC,&Hu, ZY.(2006).Automated recognition of quasars based on adaptive radial basis function neural networks.SPECTROSCOPY AND SPECTRAL ANALYSIS,26(2),377-381.
MLA Zhao, MF,et al."Automated recognition of quasars based on adaptive radial basis function neural networks".SPECTROSCOPY AND SPECTRAL ANALYSIS 26.2(2006):377-381.
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