Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/29256
Type: | Conference paper |
Title: | Forecasting chlorine residuals in a water distribution system using a general regression neural network |
Author: | Bowden, G. Nixon, J. Dandy, G. Maier, H. Holmes, M. |
Citation: | MODSIM 2003 : International Congress on Modelling and Simulation, Jupiters Hotel and Casino, 14-17 July 2003 : integrative modelling of biophysical, social and economic systems for resource management solutions : proceedings / David A. Post (ed.): pp.783-788 |
Publisher: | The Modelling and Simulation Soc of Aust and NZ Inc |
Publisher Place: | IAS, ANU, Canberra |
Issue Date: | 2003 |
ISBN: | 174052098X |
Conference Name: | International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland) |
Editor: | Post, D. |
Statement of Responsibility: | G.J. Bowden, J.B. Nixon, G.C. Dandy, H.R. Maier and M. Holmes |
Description (link): | http://www.mssanz.org.au/modsim03/modsim2003.html |
Published version: | http://www.mssanz.org.au/MODSIM03/Media/Articles/Vol%202%20Articles/783-788.pdf |
Appears in Collections: | Aurora harvest 6 Civil and Environmental Engineering publications Environment Institute publications |
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