Detection of geographical origin of honey using near-infrared spectroscopy and chemometrics

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 27, Issue 8, 2011, Pages 350-354

  Li, Shuifang ^a   Shan, Yang ^b   Zhu, Xiangrong ^b   Li, Zhonghai ^a  

^a CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY   (China)

^b Hunan Food Test and Analysis Center   (China)

Author keywords

Geographical classification; Honey; Models; Near infrared spectroscopy; Partial least squares line discriminant analysis (PLS LDA); Radical basis function neural networks (RBFNN); Wavelet transform (WT)

Indexed keywords

CHEMOMETRICS; CLASSIFICATION MODELS; DECOMPOSITION LEVEL; FIRST DERIVATIVE; GEOGRAPHICAL ORIGINS; HONEY; KENNARD-STONE ALGORITHM; PARTIAL LEAST SQUARES-LINE DISCRIMINANT ANALYSIS (PLS-LDA); PREDICTION ACCURACY; RADICAL BASIS FUNCTION NEURAL NETWORKS; SPECTRAL DATA; TEST SETS; TRAINING SETS; WAVELET FUNCTION;

DISCRIMINANT ANALYSIS; FOOD PRODUCTS; FORECASTING; INFRARED DEVICES; MATHEMATICAL TRANSFORMATIONS; MODELS; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; SPECTRUM ANALYSIS; TEXTILES;

WAVELET DECOMPOSITION;

EID: 80052792148     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2011.08.061     Document Type: Article

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