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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/29274
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dc.contributor.authorHumphrey, G.-
dc.contributor.authorMaier, H.-
dc.contributor.authorLambert, M.-
dc.contributor.editorPahl Wostl, C.-
dc.contributor.editorSchmidt, S.-
dc.contributor.editorRizzoli, A.-
dc.contributor.editorJakeman, A.-
dc.date.issued2004-
dc.identifier.citationComplexity and integrated resources management: transactions of the 2nd Biennial Meeting of the iEMSs / Claudia Pahl-Wostl, Sonja Schmidt, Andrea E. Rizzoli, and Anthony J. Jakeman (eds.): pp.87-92-
dc.identifier.isbn8890078715-
dc.identifier.urihttp://hdl.handle.net/2440/29274-
dc.description.statementofresponsibilityG. B. Kingston, H. R. Maier and M. F. Lambert-
dc.language.isoen-
dc.publisheriEMSs 2004-
dc.source.urihttp://www.iemss.org/iemss2004/pdf/ai/kingasta.pdf-
dc.titleA statistical input pruning method for artificial neural networks used in environmental modelling-
dc.typeConference paper-
dc.contributor.conferenceiEMSs 2004 : Biennial Meeting of the International Environmental Modelling and Software Society (2nd : 2004 : University of Osnabruck, Germany)-
dc.publisher.placeCD-ROM-
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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