OATAO - Open Archive Toulouse Archive Ouverte Open Access Week

Industrial Brewery Modelling by Using Artificial Neural Network

Assidjo Nogbou, Emmanuel and Yao Kouassi, Benjamin and Amane, D. and Ado, Gossan and Azzaro-Pantel, Catherine and Davin, André Industrial Brewery Modelling by Using Artificial Neural Network. (2006) Journal of Applied Sciences, 6 (8). 1858-1862. ISSN 1812-5654

[img] (Document in English)

PDF (Publisher's version) - Depositor and staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Official URL: http://ansijournals.com/3/detail.php?id=1&jid=jas&theme=3&issueno=396&articleno=56515


Fermentation is a complex phenomenon well studied which still provides challenges to brewers. In this study, artificial neural network, precisely multi layer perceptron and recurrent one were utilised for modelling either static (yeast quantity to add to wort for fermentation) or dynamic (fermentation process) phenomena. In both cases, the simulated responses are very close to the observed ones with residual biases inferior to 4.5%. Thus, ANN models present good predictive ability confirming the suitability of ANN for industrial process modelling.

Item Type:Article
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Other partners > Institut National Polytechnique Felix Houphouët-Boigny - INP-HB (IVORY COAST)
Laboratory name:
Laboratoire de Procédés Industriels de Synthèse et de l' Environnement (Yamoussoukro, Ivory Coast)
Laboratoire de Génie Chimique - LGC (Toulouse, France) - Procédés Systèmes Industriels (PSI) - Conception Optimisation Ordonnancement des Procédés (COOP)
Deposited On:19 Nov 2008 11:29

Repository Staff Only: item control page