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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/29212
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dc.contributor.authorBowden, G.-
dc.contributor.authorMaier, H.-
dc.contributor.authorDandy, G.-
dc.contributor.editorGhassemi, F.-
dc.contributor.editorWhite, D.-
dc.contributor.editorCuddy, S.-
dc.contributor.editorNakanishi, T.-
dc.date.issued2001-
dc.identifier.citationMODSIM 2001: International Congress on Modelling and Simulation, the Australian National University, Canberra, Australia, 10-13 December 2001 : integrating models for natural resources management across disciplines, issues and scales : proceedings / Fereidoun Ghassemi ... [et al.] (eds.): pp.1919-1924-
dc.identifier.isbn0867405252-
dc.identifier.urihttp://hdl.handle.net/2440/29212-
dc.description.urihttp://www.mssanz.org.au/MODSIM01/MODSIM01.htm-
dc.language.isoen-
dc.publisherTHE MODELLING & SIMULATION SOCIETY OF AUSTRALIA & NEW ZEALAND-
dc.source.urihttp://www.mssanz.org.au/MODSIM01/Vol%204/Bowden.pdf-
dc.titleUnderstanding the range of applicability of artificial neural network forecasting models-
dc.typeConference paper-
dc.contributor.conferenceInternational Congress on Modelling and Simulation (14th : 2001 : Canberra, A.C.T.)-
dc.publisher.placeCANBERRA, ACT 0200-
pubs.publication-statusPublished-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]-
Appears in Collections:Aurora harvest 6
Civil and Environmental Engineering publications
Environment Institute publications

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