HYBRID ARTIFICIAL NEURAL NETWORK APPLIEDTO MODELING SCFE OF BASIL AND ROSEMARY OILS

HYBRID ARTIFICIAL NEURAL NETWORK APPLIEDTO MODELING SCFE OF BASIL AND ROSEMARY OILS

This work presents the results of a Hybrid Neural Network (HNN) technique as applied to modeling SCFE curves obtained from two Brazilian vegetable matrices. A series Hybrid Neural Network was employed to estimate the parameters of the phenomenological model. A small set of SCFE data of each vegetabl...

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Bibliographic Details
Main Authors: Giane STUART, Ricardo MACHADO, José V. de OLIVEIRA, Angela C. ULLER, Enrique L. LIMA
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência e Tecnologia de Alimentos 1997-12-01
Series:Food Science and Technology
Subjects:
Redes Neuronais
modelagem
extração supercrítica
óleos essenciais
SCFE
Neural Networks
Modeling
Basil oil
Rosemary oil
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20611997000400030

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20611997000400030

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