Prediction of total viable counts on chilled pork using an electronic nose combined with support vector machine

Meat Science

Volumn 90, Issue 2, 2012, Pages 373-377

  Wang, Danfeng ^a   Wang, Xichang ^a   Liu, Taiang ^b   Liu, Yuan ^a  

^a SHANGHAI OCEAN UNIVERSITY   (China)

^b SHANGHAI UNIVERSITY   (China)

Author keywords

Electronic nose; Pork; Prediction; Support vector machine; Total viable counts

Indexed keywords

BACTERIA NUMBER; BACTERIAL NUMBERS; CORRELATION COEFFICIENT; ELECTRONIC NOSE; PARTIAL LEAST SQUARES; PORK; SIGNAL RESPONSE; SUPPORT VECTOR; TOTAL VIABLE COUNTS;

ARTIFICIAL ORGANS; BACTERIOLOGY; FORECASTING; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

MEATS;

BACTERIA (MICROORGANISMS);

ANIMAL; ARTICLE; BACTERIAL LOAD; ELECTRONICS; FOOD CONTROL; FOOD PACKAGING; FOOD STORAGE; FREEZING; INSTRUMENTATION; MEAT; METHODOLOGY; MICROBIOLOGY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE; SWINE;

ANIMALS; BACTERIAL LOAD; ELECTRONICS; FOOD MICROBIOLOGY; FOOD PACKAGING; FOOD STORAGE; LEAST-SQUARES ANALYSIS; MEAT; PRINCIPAL COMPONENT ANALYSIS; REFRIGERATION; SUPPORT VECTOR MACHINES; SWINE;

EID: 80555123040     PISSN: 03091740     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.meatsci.2011.07.025     Document Type: Article

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