Use of artificial neural networks for modelling multivariate water quality times series / by Holger Robert Maier.

Maier, Holger R.

Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/18661

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DC Field	Value	Language
dc.contributor.author	Maier, Holger R.	en
dc.date.issued	1995	en
dc.identifier.uri	http://hdl.handle.net/2440/18661	-
dc.description	Corrigenda attached to back end paper.	en
dc.description	Bibliography: p. 526-559.	en
dc.description	xxx, 559 p. : ill. ; 30 cm.	en
dc.description.abstract	This research analyses the suitability of back-propagation artifical neural networks (ANNs) for modelling multivariate water quality time series. The ANNs are successfully applied to two case studies, the long-term forcasting of salinity and the modelling of blue-green algae, in the River Murray, Australia.	en
dc.format.extent	478738 bytes	en
dc.format.mimetype	application/pdf	en
dc.language.iso	en	en
dc.subject.lcsh	Neural networks (Computer science)	en
dc.subject.lcsh	Water quality Computer simulation.	en
dc.subject.lcsh	Salinity Computer simulation.	en
dc.subject.lcsh	Cyanobacterial blooms Computer simulation.	en
dc.title	Use of artificial neural networks for modelling multivariate water quality times series / by Holger Robert Maier.	en
dc.type	Thesis	en
dc.contributor.school	Dept. of Civil and Environmental Engineering	en
dc.provenance	This electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exception. If you are the author of this thesis and do not wish it to be made publicly available or If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legals	-
dc.description.dissertation	Thesis (Ph.D.)--University of Adelaide, Dept. of Civil and Environmental Engineering, 1996?	en
Appears in Collections:	Research Theses

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