Development of a novel approach for secondary modelling in predictive microbiology: Incorporation of microbiological knowledge in black box polynomial modelling

International Journal of Food Microbiology

Volumn 91, Issue 3, 2004, Pages 229-244

  Geeraerd, A H ^a   Valdramidis, V P ^a   Devlieghere, F ^b   Bernaert, H ^b   Debevere, J ^b   Van Impe, J F ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

B lehr dek type models, square root models, artificial neural network models; Carbon dioxide; Constrained optimisation; Model evaluation; Modified atmosphere packaging; Polynomial models; Predictive microbiology; Secondary modelling

Indexed keywords

CARBON DIOXIDE; LACTATE SODIUM; WATER;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIAL GROWTH; CALCULATION; CONCENTRATION (PARAMETERS); DISSOLUTION; EXPERIMENTAL DESIGN; GROWTH RATE; INFORMATION; INTERMETHOD COMPARISON; LACTOBACILLUS SAKEI; LITERATURE; MATHEMATICAL MODEL; NONHUMAN; PARAMETER; PREDICTION; SCIENCE; TEMPERATURE;

LACTOBACILLUS; LACTOBACILLUS SAKEI;

EID: 1242270628     PISSN: 01681605     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-1605(03)00388-X     Document Type: Article

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