Application of visible/near infrared spectroscopy to discriminating honey brands based on independent component analysis and BP neural network

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 28, Issue 3, 2008, Pages 602-605

  Shao, Yong Ni ^a   He, Yong ^a   Bao, Yi Dan ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Artificial neural network (ANN); Honey; Independent component analysis (ICA); Variety discrimination; Visible near infrared spectroscopy (Vis NIRS)

Indexed keywords

ABSORPTION SPECTRA; ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DISCRIMINANT ANALYSIS; FOOD TECHNOLOGY; INDEPENDENT COMPONENT ANALYSIS; INFRARED SPECTROSCOPY; MATHEMATICAL MODELS; NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; ULTRAVIOLET VISIBLE SPECTROSCOPY;

ANN MODEL; ARTIFICIAL NEURAL NETWORK (ANN); HONEY BRANDS; VARIETY DISCRIMINATION; VISIBLE/NEAR INFRARED SPECTROSCOPY (VIS/NIRS);

FOOD PRODUCTS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; HONEY; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; SPECTROPHOTOMETRY;

HONEY; NEURAL NETWORKS (COMPUTER); SPECTROPHOTOMETRY; SPECTROSCOPY, NEAR-INFRARED;

EID: 42949178500     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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