Comparison of predictions of conventional mathematical and the artificial neural network models for the thermophysical properties of soya meal
2005
Madamba, P.S.(Philippines Univ. Los Baños, College, Laguna (Philippines))
anglais. The study was performed to detrmine the thermophysical properties of soyameal such as moisture soption isotherms (MSI), density and specific heat. MSI were determined using relative humidities, controlled by saturated salt solutions, ranging from 11% to 90% and exposed to constant temperatures of 15 degC, 25 degC, and 35 degC. The data were fitted to several models available in the literature and the modified Chung-Pfost and theGuggenheim, Anderson and Deboer (GAB) models satisfactorily described the sorption behavior of the product. The said models were chosen based on the low mean square errors (MSE) as well as a high Coefficient of determination (rsquare). The bulk density and specific heat data were found to be linearly related to moisture content. Simple artificial neural network (ANN) models with 3 hidden layers were also fitted to the said thermophysical properties and predictions were closed to the predictions of conventional mathemati cal models.
Afficher plus [+] Moins [-]anglais. CF: Philippine National Oil Commission Professorial Chair Lecture 2005 College, Laguna (Philippines)
Afficher plus [+] Moins [-]Mots clés AGROVOC
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