Discrimination of rice wine age using visible and near infrared spectroscopy combined with BP neural network

Proceedings - 1st International Congress on Image and Signal Processing, CISP 2008

Volumn 5, Issue , 2008, Pages 267-271

  Liu, Fei ^a   Cao, Fang ^a   Wang, Li ^a   He, Yong ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CURVE FITTING; IMAGE CLASSIFICATION; INFRARED DEVICES; INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; NEAR INFRARED SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; SPECTROSCOPIC ANALYSIS; SPECTRUM ANALYSIS; SPEECH RECOGNITION; VEGETATION; WINE;

BP NEURAL NETWORKS; BP NEURAL NETWORKS MODEL; CHEMOMETRIC METHODS; DISCRIMINATION RATIO; EIGENVECTORS; INTERNATIONAL CONGRESSES; PARTIAL LEAST SQUARES ANALYSIS; PRINCIPAL COMPONENTS; RICE WINES; SPECTRO RADIOMETERS; TRAINING SETS; TRANSMISSION MODES; VIS/NIR SPECTROSCOPY; VISIBLE AND NEAR INFRARED SPECTROSCOPY;

NEURAL NETWORKS;

EID: 51849124614     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2008.448     Document Type: Conference Paper

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