Discrimination and prediction of pork freshness by E-nose

IFIP Advances in Information and Communication Technology

Volumn 370 AICT, Issue PART 3, 2012, Pages 1-14

  Hong, Xuezhen ^a   Wang, Jun ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Back Propagation Neural Network; Electronic nose; Multiple Linear Regression; Pork freshness; Prediction

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; CORRELATION COEFFICIENT; ELECTRONIC NOSE; ELECTRONIC NOSE (E-NOSE); EVALUATION MODELS; LINEAR DISCRIMINANT ANALYSIS; MULTIPLE LINEAR REGRESSIONS; OPTIMUM PARAMETERS; PORK FRESHNESS; SENSORY SCORES; STORAGE TIME; TRAINING SETS;

AGRICULTURE; FACE RECOGNITION; FORECASTING; LINEAR REGRESSION; NEURAL NETWORKS;

MEATS;

EID: 84870536983     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-27275-2_1     Document Type: Conference Paper

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