Understanding the mechanisms modelled by artificial neural networks for hydrological prediction

dc.contributor.author	Humphrey, G.
dc.contributor.author	Maier, H.
dc.contributor.author	Lambert, M.
dc.contributor.conference	International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)
dc.contributor.editor	Post, D.
dc.date.issued	2003
dc.description.statementofresponsibility	G. B. Kingston, H. R. Maier and M. F. Lambert
dc.identifier.citation	MODSIM 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.isbn	174052098X
dc.identifier.orcid	Humphrey, G. [0000-0001-7782-5463]
dc.identifier.orcid	Maier, H. [0000-0002-0277-6887]
dc.identifier.orcid	Lambert, M. [0000-0001-8272-6697]
dc.identifier.uri	http://hdl.handle.net/2440/29243
dc.language.iso	en
dc.publisher	The Modelling and Simulation Soc of Aust and NZ Inc
dc.publisher.place	IAS, ANU, Canberra
dc.source.uri	http://www.mssanz.org.au/MODSIM03/Media/Articles/Vol%202%20Articles/825-830.pdf
dc.title	Understanding the mechanisms modelled by artificial neural networks for hydrological prediction
dc.type	Conference paper
pubs.publication-status	Published

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