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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/28254
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dc.contributor.authorHorrigan, N.-
dc.contributor.authorRecknagel, F.-
dc.contributor.editorDave Allen,-
dc.date.issued2003-
dc.identifier.citationProceedings of the International Congress on Modelling and Simulation MODSIM 2003, 2003 / Dave Allen, (ed./s), vol.2, pp.813-818-
dc.identifier.isbn174052098x-
dc.identifier.urihttp://hdl.handle.net/2440/28254-
dc.language.isoen-
dc.publisherModelling and Simulation Society of Australia and NZ Inc.-
dc.relation.ispartofProceedings of the International Congress on Modelling and Simulation MODSIM 2003-
dc.titleGeneric artificial neural network framework for habitat assessment and prediction of Australian stream systems-
dc.typeConference paper-
dc.contributor.conferenceMODSIM03-
dc.publisher.placeCanberra, Australia-
pubs.publication-statusPublished-
dc.identifier.orcidRecknagel, F. [0000-0002-1028-9413]-
Appears in Collections:Aurora harvest 6
Earth and Environmental Sciences publications
Environment Institute publications

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