Corrigenda attached to back end paper. / Bibliography: p. 526-559. / xxx, 559 p. : ill. ; 30 cm. / Title page, contents and abstract only. The complete thesis in print form is available from the University Library. / 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. / Thesis (Ph.D.)--University of Adelaide, Dept. of Civil and Environmental Engineering, 1996?
| Identifer | oai:union.ndltd.org:ADTP/259936 |
| Date | January 1995 |
| Creators | Maier, Holger R. |
| Source Sets | Australiasian Digital Theses Program |
| Language | en_US |
| Detected Language | English |
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