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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/60243
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dc.contributor.authorBowden, G.-
dc.contributor.authorDandy, G.-
dc.contributor.authorMaier, H.-
dc.contributor.editorBates, B.-
dc.date.issued2000-
dc.identifier.citationProceedings of Hydro 2000 3rd International Hydrology and Water Resources Symposium of The Institution of Engineers, Australia, 20-23 November 2000, pp.120-125-
dc.identifier.isbn0957824114-
dc.identifier.urihttp://hdl.handle.net/2440/60243-
dc.description.urihttp://trove.nla.gov.au/work/23168655-
dc.language.isoen-
dc.publisherThe Institution of Engineers, Australia-
dc.titleUse of evolutionary artificial neural network models to forecast concentrations of cyanobacteria in the River Murray-
dc.typeConference paper-
dc.contributor.conferenceInternational Hydrology and Water Resources Symposium (3rd : 2000 : Perth, W.A.)-
dc.publisher.placeACT, Australia-
pubs.publication-statusPublished-
dc.identifier.orcidDandy, G. [0000-0001-5846-7365]-
dc.identifier.orcidMaier, H. [0000-0002-0277-6887]-
Appears in Collections:Aurora harvest 5
Civil and Environmental Engineering publications
Environment Institute publications

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