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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/29256
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dc.contributor.authorBowden, G.-
dc.contributor.authorNixon, J.-
dc.contributor.authorDandy, G.-
dc.contributor.authorMaier, H.-
dc.contributor.authorHolmes, M.-
dc.contributor.editorPost, D.-
dc.date.issued2003-
dc.identifier.citationMODSIM 2003 : International Congress on Modelling and Simulation, Jupiters Hotel and Casino, 14-17 July 2003 : integrative modelling of biophysical, social and economic systems for resource management solutions : proceedings / David A. Post (ed.): pp.783-788-
dc.identifier.isbn174052098X-
dc.identifier.urihttp://hdl.handle.net/2440/29256-
dc.description.statementofresponsibilityG.J. Bowden, J.B. Nixon, G.C. Dandy, H.R. Maier and M. Holmes-
dc.description.urihttp://www.mssanz.org.au/modsim03/modsim2003.html-
dc.language.isoen-
dc.publisherThe Modelling and Simulation Soc of Aust and NZ Inc-
dc.source.urihttp://www.mssanz.org.au/MODSIM03/Media/Articles/Vol%202%20Articles/783-788.pdf-
dc.titleForecasting chlorine residuals in a water distribution system using a general regression neural network-
dc.typeConference paper-
dc.contributor.conferenceInternational Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)-
dc.publisher.placeIAS, ANU, Canberra-
pubs.publication-statusPublished-
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
Appears in Collections:Aurora harvest 6
Civil and Environmental Engineering publications
Environment Institute publications

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