Please use this identifier to cite or link to this item: http://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)
Statement of
Responsibility: 
G.J. Bowden, J.B. Nixon, G.C. Dandy, H.R. Maier and M. Holmes
RMID: 0020032055
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:Civil and Environmental Engineering publications
Environment Institute publications

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