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A novel approach to stellar recognition by combining EKF and RBF net
Bai, L; Guo, P; Yin, FL; Wang, J; Guo, CG
2004
发表期刊ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1
卷号3173页码:1002-1007
文章类型Article
摘要A new approach to stellar recognition is proposed. It uses extended Kalman filter as a feature selector and pre-classifier for stellar spectra data, while radial basis function neural networks is adopted for classification. Experiments with real-world data set show that the performance of the proposed technique is quite well, and the correct classification rate can reach as high as 93%. It is shown that the result using EKF is better than that using principle component analysis data dimension reduction technique.
WOS标题词Science & Technology ; Technology
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000223492600165
引用统计
被引频次:1[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/173211/9035
专题09年以前成果
作者单位1.Beijing Normal Univ, Dept Comp Sci, Beijing 100875, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
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GB/T 7714
Bai, L,Guo, P,Yin, FL,et al. A novel approach to stellar recognition by combining EKF and RBF net[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1,2004,3173:1002-1007.
APA Bai, L,Guo, P,Yin, FL,Wang, J,&Guo, CG.(2004).A novel approach to stellar recognition by combining EKF and RBF net.ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1,3173,1002-1007.
MLA Bai, L,et al."A novel approach to stellar recognition by combining EKF and RBF net".ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 3173(2004):1002-1007.
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