OPTIMAL OPERATION OF A SEPARATION PLANT USING ARTIFICIAL NEURAL NETWORKS

Authors
ALTISSIMI R BRAMBILLA A DEIDDA A SEMINO D
Citation
R. Altissimi et al., OPTIMAL OPERATION OF A SEPARATION PLANT USING ARTIFICIAL NEURAL NETWORKS, Computers & chemical engineering, 22, 1998, pp. 939-942
Citations number
4
Categorie Soggetti
Computer Science Interdisciplinary Applications","Engineering, Chemical","Computer Science Interdisciplinary Applications
Journal title
Computers & chemical engineering → ACNP
ISSN journal
00981354
Volume
22
Year of publication
1998
Supplement
S
Pages
939 - 942
Database
ISI
SICI code
0098-1354(1998)22:<939:OOOASP>2.0.ZU;2-1
Abstract
An ANN (Artificial Neural Network) based optimizer has been built and applied to the separation of a gas flow coming out of a hydrocracking reactor. The ANN based optimizer is shown to be able to achieve a prec ision similar to the one of an optimizer based on a first principle mo del with a very significant decrease in computational time. A central point of the development of the ANN models lies in the choices related to the training procedure; suggestions about the criteria which shoul d lead such choices have been given. (C) 1998 Elsevier Science Ltd. Al l rights reserved.