An international comparative study of artificial neural network techniques for river stage forecasting

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dc.contributor.authorAbrahart, R.
dc.contributor.authorAnctil, F.
dc.contributor.authorBowden, G.
dc.contributor.authorDandy, G.
dc.contributor.authorMaier, H.
dc.contributor.authorCampolo, M.
dc.contributor.authorSoldati, A.
dc.contributor.authorCannas, B.
dc.contributor.authorFanni, A.
dc.contributor.authorDawson, C.
dc.contributor.authorDulal, K.
dc.contributor.authorElshorbagy, A.
dc.contributor.authorHall, M.
dc.contributor.authorVaroonchotikul, P.
dc.contributor.authorImrie, C.
dc.contributor.authorJain, S.
dc.contributor.authorJayawardena, A.
dc.contributor.authorFernando, T.
dc.contributor.authorLiong, S.
dc.contributor.authorDoan, C.
dc.contributor.authoret al.
dc.contributor.conferenceNational Hydrology Symposium (8th : 2002 : Birmingham, U.K.)
dc.contributor.editorBradley, C.
dc.contributor.editorHannah, D.
dc.contributor.organisationArtificial Neural Network Experiment Group (ANNEXG)
dc.date.issued2002
dc.identifier.citationBritish Hydrological Society 8th National Hydrology Symposium, Birmingham University, 8-11 September: pp.75-81
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]
dc.identifier.urihttp://hdl.handle.net/2440/29220
dc.language.isoen
dc.publisherBritish Hydrological Society
dc.publisher.placeUK
dc.titleAn international comparative study of artificial neural network techniques for river stage forecasting
dc.typeConference paper
pubs.publication-statusPublished

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