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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/29243
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dc.contributor.authorHumphrey, G.-
dc.contributor.authorMaier, H.-
dc.contributor.authorLambert, 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.825-830-
dc.identifier.isbn174052098X-
dc.identifier.urihttp://hdl.handle.net/2440/29243-
dc.description.statementofresponsibilityG. B. Kingston, H. R. Maier and M. F. Lambert-
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/825-830.pdf-
dc.titleUnderstanding the mechanisms modelled by artificial neural networks for hydrological prediction-
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.orcidHumphrey, G. [0000-0001-7782-5463]-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
dc.identifier.orcidLambert, M. [0000-0001-8272-6697]-
Appears in Collections:Aurora harvest 6
Civil and Environmental Engineering publications
Environment Institute publications

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