Evaluation of least squares support vector machine regression and other multivariate calibrations in determination of internal attributes of tea beverages

Food and Bioprocess Technology

Volumn 3, Issue 5, 2010, Pages 651-661

  Li, Xiao Li ^a   He, Yong ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Determination; Internal attributes; Least squares support vector regression; Sensitive wavelength; Tea beverage; Visible near infrared reflectance spectroscopy

Indexed keywords

INFRARED REFLECTANCE SPECTROSCOPY; LEAST SQUARE; LEAST SQUARES-SUPPORT VECTOR REGRESSION; SENSITIVE WAVELENGTHS; SUPPORT VECTOR REGRESSIONS;

ABILITY TESTING; AGRICULTURAL PRODUCTS; BEVERAGES; CALIBRATION; INFRARED SPECTROSCOPY; MULTIVARIABLE SYSTEMS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; REFLECTION; SUPPORT VECTOR MACHINES; VECTORS; WAVELENGTH;

REGRESSION ANALYSIS;

CAMELLIA SINENSIS;

EID: 77954303119     PISSN: 19355130     EISSN: 19355149     Source Type: Journal    
DOI: 10.1007/s11947-008-0101-y     Document Type: Article

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