Header menu link for other important links
X
Modeling of wet grinding operation using artificial intelligence based techniques
, M. Ghivari
Published in IFAC Secretariat
2005
Volume: 16
   
Pages: 157 - 162
Abstract
The Artificial Intelligence (AI) based modeling techniques applied to the industrial grinding operation of a lead-zinc ore-beneficiation plant to predict the key performance indicators KPIs for the circuit. As system identification of the non-linear process is a must in advanced control, AI based techniques are applied to predict the KPIs within some acceptable limits. The nonparametric model for these KPIs is constructed using Feed-Forward Neural Networks (FNN), and wavelet-frames. A well-validated hybrid-model, using physico-empirical methodologies, is used to approximate the actual behaviour of the plant. Merits and demerits of each of these techniques are presented. Copyright © 2005 IFAC.
About the journal
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherIFAC Secretariat
ISSN14746670