Maier, Holger R.2006-12-282006-12-2819951995http://hdl.handle.net/2440/18661Corrigenda attached to back end paper.Bibliography: p. 526-559.xxx, 559 p. : ill. ; 30 cm.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.478738 bytesapplication/pdfenNeural networks (Computer science)Water quality Computer simulation.Salinity Computer simulation.Cyanobacterial blooms Computer simulation.Thesis