DocumentCode :
1097947
Title :
Neural networks in process plant modelling and control
Author :
Turner, P. ; Montague, G.A. ; Morris, A.J.
Author_Institution :
Dept. of Chem. & Process Eng., Newcastle upon Tyne Univ., UK
Volume :
5
Issue :
3
fYear :
1994
fDate :
6/1/1994 12:00:00 AM
Firstpage :
131
Lastpage :
134
Abstract :
The Teaching Company Scheme offers a great deal of opportunity and benefits to both the industrial and academic partners involved. This article pays particular reference to an ongoing programme that exists between ICI Engineering and the University of Newcastle-upon-Tyne. In order to place the scope of the project into perspective, the authors describe briefly the technology involved. The original objective of this programme was to install and commission three successful neural network algorithms onto three separate chemical processes. As time has progressed, the original objective has been found to be extremely conservative in scope. Through exploiting current work and expertise at the University of Newcastle-upon-Tyne in the area of neural network theory and practice, many more applications have been possible.<>
Keywords :
ICI; chemical engineering computing; chemical industry; neural nets; process computer control; ICI Engineering; Teaching Company Scheme; University of Newcastle-upon-Tyne; chemical processes; neural network algorithms; neural network theory; process plant control; process plant modelling; Chemical industry; Neural networks; Process control;
fLanguage :
English
Journal_Title :
Computing & Control Engineering Journal
Publisher :
iet
ISSN :
0956-3385
Type :
jour
DOI :
10.1049/cce:19940308
Filename :
289497
Link To Document :
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