Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/29274
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dc.contributor.authorHumphrey, G.en
dc.contributor.authorMaier, H.en
dc.contributor.authorLambert, M.en
dc.date.issued2004en
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.87-92en
dc.identifier.isbn8890078715en
dc.identifier.urihttp://hdl.handle.net/2440/29274-
dc.description.statementofresponsibilityG. B. Kingston, H. R. Maier and M. F. Lamberten
dc.language.isoenen
dc.publisheriEMSs 2004en
dc.source.urihttp://www.iemss.org/iemss2004/pdf/ai/kingasta.pdfen
dc.titleA statistical input pruning method for artificial neural networks used in environmental modellingen
dc.typeConference paperen
dc.identifier.rmid0020042188en
dc.contributor.conferenceiEMSs 2004 : Biennial Meeting of the International Environmental Modelling and Software Society (2nd : 2004 : University of Osnabruck, Germany)en
dc.publisher.placeCD-ROMen
dc.identifier.pubid55727-
pubs.library.collectionCivil and Environmental Engineering publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidHumphrey, G. [0000-0001-7782-5463]en
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]en
dc.identifier.orcidLambert, M. [0000-0001-8272-6697]en
Appears in Collections:Civil and Environmental Engineering publications
Environment Institute publications

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