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Volumn 29, Issue 4, 2009, Pages 1131-1136
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Kernel regression application in estimating stellar fundamental parameters
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Author keywords
Kernel least squares regression (KLSR); Kernel PCA regression (KPCR); Stellar fundamental parameters; Stellar spectra
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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;
ATMOSPHERIC TEMPERATURE;
CURVE FITTING;
GRAVITATIONAL EFFECTS;
LEAST SQUARES APPROXIMATIONS;
METAL ANALYSIS;
REGRESSION ANALYSIS;
SPECTRUM ANALYSIS;
SPECTRUM ANALYZERS;
PARAMETER ESTIMATION;
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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)
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References (14)
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