Modelling cyanobacteria (blue-green algae) in the River Murray using artificial neural networks

Mathematics and Computers in Simulation

Volumn 43, Issue 3-6, 1997, Pages 377-386

  Maier, H R ^a   Dandy, G C ^b  

^a Western Samoa Water Authority   (Samoa)

^b UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGAE; BACTERIA; NEURAL NETWORKS; NITROGEN; PHOSPHORUS; RIVERS; SENSITIVITY ANALYSIS; TOXICITY;

ALGAL BLOOMS; CYANOBACTERIA;

COMPUTER SIMULATION;

EID: 0031096422     PISSN: 03784754     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0378-4754(97)00022-0     Document Type: Article

References (10)

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2. E.P. Hodgkin, P.B Birch, R.E. Black and R.B. Humphries, The Peel-Harvey estuarine system study (1976-1980): A Report to the Estuarine and Environment Committee, Report No. 9, Department of Conservation and Environment, 1980.
3. T.P. Kudrycki, Neural network implementation of a medical diagnosis expert system, Master's thesis, College of Engineering, University of Cincinnati, 1988.
4. N. Mackay, and D. Eastburn, Eds., The Murray, Murray Darling Basin Commission, Canberra, Australia, 1990.
5. H.R. Maier, and G.C. Dandy, Use of neural networks for determining the inputs for multivariate time series models, Research Report No. R121, Department of Civil and Environmental Engineering, The University of Adelaide, 1994.
6. H.R. Maier, and G.C. Dandy, Effect of internal parameters and geometry on the performance of backpropagation networks, Research Report No. R132, Department of Civil and Environmental Engineering, The University of Adelaide, 1995.
7. A. Maren, C. Harston and R. Pap, Handbook of Neural Computing Applications, (Academic Press, San Diego, CA), 448pp., 1990.
8. Murray Darling Basin Ministerial Council, Algal management strategy for the Murray-Darling basin (draft), MDBC, Canberra, 1993.
9. Neuralware, Inc., Neural computing, NeuralWorks Professional 1I/Plus and NeuralWorks Explorer, 360 pp., 1991.
10. D.E. Rumelhart, G.E. Hinton and R.J. Williams, Learning internal representations by error propagation, in: D.E. Rumelhart and J.L. McClelland, Eds. Parallel Distributed Processing, Vol.1, Ch.8, (MIT Press, Cambridge, MA), 1986.