Please use this identifier to cite or link to this item:
Title: Consider using 'soft analyzers' to improve SRU control
Authors: Quek, C.J.
Balasubramanian, R. 
Rangaiah, G.P. 
Issue Date: Jan-2000
Citation: Quek, C.J.,Balasubramanian, R.,Rangaiah, G.P. (2000-01). Consider using 'soft analyzers' to improve SRU control. Hydrocarbon Processing 79 (1) : 101-106. ScholarBank@NUS Repository.
Abstract: Researchers use neural networks and regression methods to build models that accurately predict H2S and SO2 in tail gas.
Source Title: Hydrocarbon Processing
ISSN: 00188190
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Aug 17, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.