Using hybrid neural models to describe supercritical fluid extraction processes
This work presents the results of a hybrid neural model (HNM) technique as applied to modeling supercritical fluid extraction (SCFE) curves obtained from two Brazilian vegetable matrices. The serial HNM employed uses a neural network to estimate parameters of a phenomenological model. A small set of...
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Brazilian Society of Chemical Engineering
1999-09-01
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doaj-da2904141e5d4585ab4056553b8a77202020-11-24T21:43:09ZengBrazilian Society of Chemical EngineeringBrazilian Journal of Chemical Engineering0104-66321678-43831999-09-0116326727810.1590/S0104-66321999000300005Using hybrid neural models to describe supercritical fluid extraction processesA. P. FONSECAG. STUARTJ. V. OLIVEIRAE. LIMAThis work presents the results of a hybrid neural model (HNM) technique as applied to modeling supercritical fluid extraction (SCFE) curves obtained from two Brazilian vegetable matrices. The serial HNM employed uses a neural network to estimate parameters of a phenomenological model. A small set of SCFE data for each vegetable was used to generate a semi-empirical extended data set, large enough for efficient network training, using three different approaches. Afterwards, other sets of experimental data, not used during the training procedure, were used to validate each approach. The HNM correlates well withthe experimental data, and it is shown that the predictions accomplished with this technique may be promising for SCFE purposes.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000300005Supercritical fluid extractionModelingArtificial neural networkBrazilian rosemary oilpepper oil |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. P. FONSECA G. STUART J. V. OLIVEIRA E. LIMA |
spellingShingle |
A. P. FONSECA G. STUART J. V. OLIVEIRA E. LIMA Using hybrid neural models to describe supercritical fluid extraction processes Brazilian Journal of Chemical Engineering Supercritical fluid extraction Modeling Artificial neural network Brazilian rosemary oil pepper oil |
author_facet |
A. P. FONSECA G. STUART J. V. OLIVEIRA E. LIMA |
author_sort |
A. P. FONSECA |
title |
Using hybrid neural models to describe supercritical fluid extraction processes |
title_short |
Using hybrid neural models to describe supercritical fluid extraction processes |
title_full |
Using hybrid neural models to describe supercritical fluid extraction processes |
title_fullStr |
Using hybrid neural models to describe supercritical fluid extraction processes |
title_full_unstemmed |
Using hybrid neural models to describe supercritical fluid extraction processes |
title_sort |
using hybrid neural models to describe supercritical fluid extraction processes |
publisher |
Brazilian Society of Chemical Engineering |
series |
Brazilian Journal of Chemical Engineering |
issn |
0104-6632 1678-4383 |
publishDate |
1999-09-01 |
description |
This work presents the results of a hybrid neural model (HNM) technique as applied to modeling supercritical fluid extraction (SCFE) curves obtained from two Brazilian vegetable matrices. The serial HNM employed uses a neural network to estimate parameters of a phenomenological model. A small set of SCFE data for each vegetable was used to generate a semi-empirical extended data set, large enough for efficient network training, using three different approaches. Afterwards, other sets of experimental data, not used during the training procedure, were used to validate each approach. The HNM correlates well withthe experimental data, and it is shown that the predictions accomplished with this technique may be promising for SCFE purposes. |
topic |
Supercritical fluid extraction Modeling Artificial neural network Brazilian rosemary oil pepper oil |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000300005 |
work_keys_str_mv |
AT apfonseca usinghybridneuralmodelstodescribesupercriticalfluidextractionprocesses AT gstuart usinghybridneuralmodelstodescribesupercriticalfluidextractionprocesses AT jvoliveira usinghybridneuralmodelstodescribesupercriticalfluidextractionprocesses AT elima usinghybridneuralmodelstodescribesupercriticalfluidextractionprocesses |
_version_ |
1725915378066915328 |