Prediction of food thermal process evaluation parameters using neural networks.

Abstract

Two neural networks (ANN) were developed to predict thermal process evaluation parameters g and f(h)/U (the ratio of heating rate index to the sterilizing value), respectively. The temperature change required for the thermal destruction curve to traverse one log cycle (z), cooling lag factor (j(c)) andf(h)/U were input variables for predicting g and z… (More)

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Cite this paper

@article{Mittal2002PredictionOF, title={Prediction of food thermal process evaluation parameters using neural networks.}, author={Gauri S. Mittal and Juhong Zhang}, journal={International journal of food microbiology}, year={2002}, volume={79 3}, pages={153-9} }