A close to real-time prediction method of total coliform bacteria in foods based on image identification technology and artificial neural network

Food Research International

Volumn 42, Issue 1, 2009, Pages 191-199

  Yin, Yong guang ^a   Ding, Yun ^a  

^a JILIN UNIVERSITY   (China)

Author keywords

Artificial neural network; Micro image identification technology; Total coliform bacteria

Indexed keywords

BACKPROPAGATION; BACTERIOLOGY; BIOCHEMICAL ENGINEERING; CORRELATION METHODS; FEATURE EXTRACTION; FORECASTING; IMAGE PROCESSING; IMAGE UNDERSTANDING; LINEAR REGRESSION; MATHEMATICAL MODELS; NEURAL NETWORKS; POLYNOMIAL APPROXIMATION; REGRESSION ANALYSIS; TECHNOLOGY;

ANN MODELS; ARTIFICIAL NEURAL NETWORK; COLIFORMS; CORRELATION COEFFICIENTS; FEATURE PARAMETERS; FERMENTATION TECHNIQUES; HIDDEN LAYERS; LINEAR REGRESSION MODELS; MICRO-IMAGE IDENTIFICATION TECHNOLOGY; ORDER POLYNOMIALS; PREDICTION METHODS; TIME DETECTIONS; TIME PREDICTION METHODS; TOTAL COLIFORM BACTERIA; TOTAL COUNTS;

COLIFORM BACTERIA;

BACILLI (CLASS); BACTERIA (MICROORGANISMS);

EID: 58149229361     PISSN: 09639969     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodres.2008.10.006     Document Type: Article

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