Application of Competitive Adaptive Reweighted Sampling Method to Determine Effective Wavelengths for Prediction of Total Acid of Vinegar

Food Analytical Methods

Volumn 5, Issue 3, 2012, Pages 585-590

  Fan, Wei ^a   Shan, Yang ^b,c   Li, Gaoyang ^b,c   Lv, Huiying ^b,c   Li, Hongdong ^a   Liang, Yizeng ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b Hunan Provincial Research Institute of Agricultural Product Processing   (China)

^c Hunan Food Test and Analysis Center   (China)

Author keywords

Near infrared spectroscopy; Total acid; Vinegar; Wavelength selection

Indexed keywords

CLASSICAL METHODS; DETERMINATION COEFFICIENTS; EFFECTIVE WAVELENGTH; FULL SPECTRUM; LEAST SQUARES; MONTE CARLO; MOVING WINDOW; NIR SPECTROSCOPY; PARTIAL LEAST SQUARE (PLS); PARTIAL LEAST SQUARES REGRESSION; REGRESSION MODEL; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS; SAMPLING METHOD; THREE-WAVELENGTHS; UNINFORMATIVE VARIABLE ELIMINATIONS; VINEGAR; WAVELENGTH SELECTION;

ACETIC ACID; COHERENT SCATTERING; FORECASTING; INFRARED DEVICES; MEAN SQUARE ERROR; MONTE CARLO METHODS; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS;

WAVELENGTH;

EID: 84860470127     PISSN: 19369751     EISSN: 1936976X     Source Type: Journal    
DOI: 10.1007/s12161-011-9285-2     Document Type: Article

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