A preliminary study modelling NO emission by subset selection using a genetic algorithm and in-cylinder parameters Bodisco, Timothy, Fang, K, Zare, A, Brown, RJ and Ristovski, Z 2017, A preliminary study modelling NO emission by subset selection using a genetic algorithm and in-cylinder parameters, in Proceedings of the 11th Asia-Pacific Conference on Combustion 2017, The University of Sydney, Sydney, N.S.W., pp. 1-4. Attached Files Name Description MIMEType Size Downloads Title A preliminary study modelling NO emission by subset selection using a genetic algorithm and in-cylinder parameters Author(s) Bodisco, Timothy orcid.org/0000-0002-5163-4762 Fang, K Zare, A Brown, RJ Ristovski, Z Conference name Combustion Institute. Conference (11th : 2017 : Sydney, N.S.W.) Conference location Sydney, N.S.W. Conference dates 2017/12/10 - 2017/12/14 Title of proceedings Proceedings of the 11th Asia-Pacific Conference on Combustion 2017 Editor(s) [Unknown] Publication date 2017 Series Combustion Institute Conference Start page 1 End page 4 Total pages 4 Publisher The University of Sydney Place of publication Sydney, N.S.W. Keyword(s) emission subset selection genetic algorithm in-cylinder parameters Language eng HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©[2017, The University of Sydney] Persistent URL http://hdl.handle.net/10536/DRO/DU:30105703 Document type: Conference Paper Collection: School of Engineering Related Links Link Description   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 04 Jan 2018, 10:44:34 EST Fri, 05 Jan 2018, 04:00:18 EST Mon, 15 Jan 2018, 07:42:41 EST Wed, 02 May 2018, 15:46:39 EST Thu, 03 May 2018, 06:02:44 EST Thu, 03 May 2018, 16:06:08 EST Thu, 03 May 2018, 16:08:13 EST Sat, 19 May 2018, 02:33:06 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 44 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Wed, 02 May 2018, 15:46:39 EST

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