WSEAS Transactions on Biology and Biomedicine
Print ISSN: 1109-9518, E-ISSN: 2224-2902
Volume 16, 2019
Modelling in Food Technology
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Abstract: The modelling in food technology is concerned with the question of the best model choice. The aim of the presented work is to show the basic methods for modelling and criteria for model selection in food technology, in order to develop a reliable approach for prediction of their behavior. Models in food technology, at the simplest level, are equations showing the relationship between two or more variables. Mathematical model of a process can be defined as a system of equations whose solution, given specified input data, is representative of the response to a corresponding set of inputs. Curve fitting and statistics in this work was made by Prism software. Akaike’s information criteria (AIC) and Bayesian information criteria (BIC) was used in the model selection.
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Keywords: Modelling, least squares fitting, regression, model selection, Akaike information criteria (AIC), Bayesian information criteria (BIC)
Pages: 69-74
WSEAS Transactions on Biology and Biomedicine, ISSN / E-ISSN: 1109-9518 / 2224-2902, Volume 16, 2019, Art. #9