The use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oil
The concentration of omega-3 compounds obtained for the esterification of squid oil by molecular distillation was carried out in two stages. This operation can process these thermolabile and high molecular weight components at very low temperatures. Given the mathematical complexity of the theoretic...
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doaj-74f007946ca445d0bb186972e39911522021-05-05T07:28:19ZengConsejo Superior de Investigaciones CientíficasGrasas y Aceites0017-34951988-42142014-12-01654e052e05210.3989/gya.02311411485The use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oilP. Rossi0M. F. Gayol1C. Renaudo2M. C. Pramparo3V. Nepote4N. R. Grosso5Facultad de Ingeniería, Universidad Nacional de Río CuartoFacultad de Ingeniería, Universidad Nacional de Río CuartoFacultad de Ingeniería, Universidad Nacional de Río CuartoFacultad de Ingeniería, Universidad Nacional de Río CuartoICTA, Facultad de Ciencias Exactas, Físicas y Naturales (UNC), IMBIV-CONICETQuímica Biológica, Facultad de Ciencias Agropecuarias (UNC), IMBIV-CONICETThe concentration of omega-3 compounds obtained for the esterification of squid oil by molecular distillation was carried out in two stages. This operation can process these thermolabile and high molecular weight components at very low temperatures. Given the mathematical complexity of the theoretical model, artificial neural networks (ANN) have provided an alternative to a classical computing analysis. The objective of this study was to create a predictive model using artificial neural network techniques to represent the concentration process of omega-3 compounds obtained from squid oil using molecular distillation. Another objective of this study was to analyze the performance of two different alternatives of ANN modeling; one of them is a model that represents all variables in the process and the other is a global model that simulates only the input and output variables of the process. The alternative of the ANN global model showed the best fit to the experimental data.http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1517artificial neural networksdhaepamolecular distillationomega-3 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
P. Rossi M. F. Gayol C. Renaudo M. C. Pramparo V. Nepote N. R. Grosso |
spellingShingle |
P. Rossi M. F. Gayol C. Renaudo M. C. Pramparo V. Nepote N. R. Grosso The use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oil Grasas y Aceites artificial neural networks dha epa molecular distillation omega-3 |
author_facet |
P. Rossi M. F. Gayol C. Renaudo M. C. Pramparo V. Nepote N. R. Grosso |
author_sort |
P. Rossi |
title |
The use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oil |
title_short |
The use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oil |
title_full |
The use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oil |
title_fullStr |
The use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oil |
title_full_unstemmed |
The use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oil |
title_sort |
use of artificial neural network modeling to represent the process of concentration by molecular distillation of omega-3 from squid oil |
publisher |
Consejo Superior de Investigaciones Científicas |
series |
Grasas y Aceites |
issn |
0017-3495 1988-4214 |
publishDate |
2014-12-01 |
description |
The concentration of omega-3 compounds obtained for the esterification of squid oil by molecular distillation was carried out in two stages. This operation can process these thermolabile and high molecular weight components at very low temperatures. Given the mathematical complexity of the theoretical model, artificial neural networks (ANN) have provided an alternative to a classical computing analysis. The objective of this study was to create a predictive model using artificial neural network techniques to represent the concentration process of omega-3 compounds obtained from squid oil using molecular distillation. Another objective of this study was to analyze the performance of two different alternatives of ANN modeling; one of them is a model that represents all variables in the process and the other is a global model that simulates only the input and output variables of the process. The alternative of the ANN global model showed the best fit to the experimental data. |
topic |
artificial neural networks dha epa molecular distillation omega-3 |
url |
http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/1517 |
work_keys_str_mv |
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