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: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Brazilian Society of Chemical Engineering
1999-09-01
|
| Series: | Brazilian Journal of Chemical Engineering |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000300005 |