Abstract

LOPEZ DE LA MAZA, Luis Eduardo; ZUMALACARREGUI DE CARDENAS, Lourdes; PEREZ ONES, Osney  and  LLANES SANTIAGO, Orestes. Obtaining a neural model for ethanol´s concentration estimation at “ Héctor Molina ” distillery. RTQ [online]. 2018, vol.38, n.2, pp. 271-280. ISSN 2224-6185.

The ethanol production for alcoholic beverages manufacturing based on fermentation at “Héctor Molina” distillery is performed in a bioreactor tank operating at discontinuous mode. Currently the biological processes' modeling using artificial intelligence techniques has become a trend. In this paper, models with artificial neural networks (RNA), multilayer perceptron specifically, were created. These models were able to estimate the concentration of ethanol in the fermenters of the Héctor Molina distillery using MATLAB 2013. The best neural topology presents four input variables and six neurons in the hidden layer with a mean of the mean square error of 4,34 10 -4 and a correlation factor with the experimental data of 0,916.

Keywords : neural networks; models; fermentation.

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