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Volumn 29, Issue 4, 2009, Pages 1131-1136

Kernel regression application in estimating stellar fundamental parameters

Author keywords

Kernel least squares regression (KLSR); Kernel PCA regression (KPCR); Stellar fundamental parameters; Stellar spectra

Indexed keywords

AUTOMATIC METHODS; EFFECTIVE TEMPERATURES; KERNEL FUNCTIONS; KERNEL LEAST SQUARES REGRESSION (KLSR); KERNEL PCA REGRESSION (KPCR); KERNEL REGRESSIONS; LINEAR REGRESSION MODELS; LOW RESOLUTIONS; NON-LINEAR REGRESSIONS; SPECTRAL ANALYSIS METHODS; SPECTRAL LINES; STELLAR ATMOSPHERES; STELLAR FUNDAMENTAL PARAMETERS; STELLAR SPECTRA; SURFACE GRAVITIES; THREE PARAMETERS;

EID: 64049088872     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: 10.3964/j.issn.1000-0593(2009)04-1131-06     Document Type: Article
Times cited : (5)

References (14)
  • 9
    • 0003450542 scopus 로고    scopus 로고
    • Zhang X.-G.(transl.), Beijing: Tsinghua University Press
    • Vapnik Vladimir N. The Nature of Statistical Learning Theory. Translated by ZHANG Xue-gong. Beijing: Tsinghua University Press, 2000. 97.
    • (2000) The Nature of Statistical Learning Theory , pp. 97
    • Vapnik, V.N.1
  • 13
    • 64049105676 scopus 로고    scopus 로고
    • A standard stellar library (lejeune+1997)
    • Lejeune T, Cuisinier F, Buser R. A Standard Stellar Library (Lejeune+1997). http://vizier.u-strasbg.fr/viz-bin/ftp-index?J/A+AS/125/229.
    • Lejeune, T.1    Cuisinier, F.2    Buser, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.