NEURAL-NETWORK-BASED MODELING OF THE NITRIC-ACID PLANT HEAT-EXCHANGERSTEAM BOILER SYSTEM

Authors
ROJ E WILK M
Citation
E. Roj et M. Wilk, NEURAL-NETWORK-BASED MODELING OF THE NITRIC-ACID PLANT HEAT-EXCHANGERSTEAM BOILER SYSTEM, Przemysl Chemiczny, 76(8), 1997, pp. 349
Citations number
13
Categorie Soggetti
Engineering, Chemical",Chemistry
Journal title
Przemysl Chemiczny → ACNP
ISSN journal
00332496
Volume
76
Issue
8
Year of publication
1997
Database
ISI
SICI code
0033-2496(1997)76:8<349:NMOTNP>2.0.ZU;2-2
Abstract
An application of neural network for modeling of heat exchanger-boiler system has been presented. Deterministic model based data for neural network training have been used. For the case study a feed-forward typ e neural network of the heat exchanger-boiler system consisting of 6 i nput layer neurons, 25 hidden layer neurons and 113 output neurons has been applied.