Neural networks for predicting mass transfer parameters in supercritical extraction

Neural networks for predicting mass transfer parameters in supercritical extraction

Neural networks have been investigated for predicting mass transfer coefficients from supercritical Carbon Dioxide/Ethanol/Water system. To avoid the difficulties associated with reduce experimental data set available for supercritical extraction in question, it was chosen to use a technique to gene...

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Bibliographic Details
Main Authors:	A.P. Fonseca, J.V. Oliveira, E.L. Lima
Format:	Article
Language:	English
Published:	Brazilian Society of Chemical Engineering 2000-12-01
Series:	Brazilian Journal of Chemical Engineering
Subjects:	Neural network Mass transfer coefficients Supercritical carbon dioxide Ethanol
Online Access:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66322000000400016

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