Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: A case study to determine soluble solids content of beer

Analytica Chimica Acta

Volumn 635, Issue 1, 2009, Pages 45-52

  Liu, Fei ^a   Jiang, Yihong ^a   He, Yong ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Beer; Independent component analysis; Least squares support vector machine; Successive projections algorithm; Variable selection; Visible near infrared spectroscopy

Indexed keywords

BEER; LEAST SQUARES-SUPPORT VECTOR MACHINE; SUCCESSIVE PROJECTIONS ALGORITHM; VARIABLE SELECTION; VISIBLE/NEAR INFRARED SPECTROSCOPY;

BEVERAGES; CALIBRATION; CURVE FITTING; HEMODYNAMICS; IMAGE RETRIEVAL; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; NONLINEAR ANALYSIS; REGRESSION ANALYSIS; RESEARCH AIRCRAFT; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYSIS; STATISTICAL PROCESS CONTROL; SUPPORT VECTOR MACHINES;

INDEPENDENT COMPONENT ANALYSIS;

EID: 59049087856     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2009.01.017     Document Type: Article

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