Analysis of pork adulteration in minced mutton using electronic nose of metal oxide sensors

Journal of Food Engineering

Volumn 119, Issue 4, 2013, Pages 744-749

  Tian, Xiaojing ^a,b   Wang, Jun ^a   Cui, Shaoqing ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b NORTH MINZU UNIVERSITY   (China)

Author keywords

Electronic nose; Feature extraction; Meat adulteration; Pattern recognition

Indexed keywords

BACK-PROPAGATION NEURAL NETWORKS; CANONICAL DISCRIMINANT ANALYSIS; DISCRIMINANT ANALYSIS METHODS; ELECTRONIC NOSE; PARTIAL LEAST SQUARE ANALYSIS; PATTERN RECOGNITION TECHNIQUES; PRINCIPLE COMPONENT ANALYSIS; STEPWISE LINEAR DISCRIMINANT ANALYSIS;

DISCRIMINANT ANALYSIS; DRUG PRODUCTS; FEATURE EXTRACTION; LINEAR REGRESSION; LOADING; MEATS; NEURAL NETWORKS; PATTERN RECOGNITION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84881137682     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.07.004     Document Type: Article

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