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...
Main Authors: | A. P. FONSECA, G. STUART, J. V. OLIVEIRA, E. LIMA |
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Format: | Article |
Language: | English |
Published: |
Brazilian Society of Chemical Engineering
1999-09-01
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Series: | Brazilian Journal of Chemical Engineering |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000300005 |
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