Modeling by artificial neural networks of silver carp (Hypophthalmichthys molitrixi) with sous vide processing on the effects of storage and processing temperatures on the microbiological status

To evaluate and anticipate the microbial changes of silver carp (Hypophthalmichthys molitrixi) during cold storage (0, 5, 10, 15 & 21 day) at different sous vide processing temperatures (60, 65, 70, and 75 o C), changes in microbial load of Enterobacteriaceae, Lactic Acid bacteria (LAB), Pseudomonas, Psychrotrophs, and total viable count (TVC) were considered. A radial basis function neural network (RBFNN) model was established to predict the changes in the microbial content of silver carp. The critical temperature for inactivation of Enterobacteriaceae and lactic acid bacteria was 65 {degrees}C and for Pseudomonas and Psychrotrophs was 70 {degrees}C and the highest value (75 {degrees}C) was observed for the total viable count. In samples processed at 75 {degrees}C, the presence of Enterobacteriaceae, Pseudomonas and Psychrotrophs were not detectable up to 15 days of storage and lactic acid bacteria were not detectable even at the end of the storage period. The optimal ANN topology for modeling Enterobacteriaceae, Pseudomonas, and Psychrotroph contained 9 neurons in the hidden layer, but for TVC and LAB, it was 14 neurons.