Optimization of the Separation of Amino Acids by Capillary Electrophoresis Using Artificial Neural Networks

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dc.contributor.author Van Gramberg, A
dc.contributor.author Beavis, A
dc.contributor.author Blanes, L
dc.contributor.author Doble, P
dc.date.accessioned 2012-02-02T03:16:31Z
dc.date.issued 2009-11-03
dc.identifier.citation Chemometric Methods in Capillary Electrophoresis, 2009, pp. 169 - 180
dc.identifier.isbn 9780470393291
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/14390
dc.publisher John Wiley & Sons, Inc.
dc.relation.isbasedon 10.1002/9780470530191.ch7
dc.title Optimization of the Separation of Amino Acids by Capillary Electrophoresis Using Artificial Neural Networks
dc.type Chapter
dc.parent Chemometric Methods in Capillary Electrophoresis
dc.journal.number en_US
dc.publocation United States en_US
dc.identifier.startpage 169 en_US
dc.identifier.endpage 180 en_US
dc.cauo.name SCI.Chemistry and Forensic Sciences en_US
dc.conference Verified OK en_US
dc.for 170205 Neurocognitive Patterns and Neural Networks
dc.personcode 010494
dc.personcode 990445
dc.personcode 105015
dc.personcode 10317170
dc.percentage 100 en_US
dc.classification.name Neurocognitive Patterns and Neural Networks en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Amino acid separation by capillary electrophoresis using artificial neural networks (ANN)
dc.description.keywords Optimization of separation of amino acids by CE employing ANN
dc.description.keywords Resolution response surface construction
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - Forensic Science
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Closed (ID: 3)
utslib.collection.history School of Chemistry and Forensic Science (ID: 339)


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