Yuce / Perth / Brisbane / Australian / Sydney / Rotterdam / Victoria / Bates / Adelaide / /
Company
Artificial Neural Networks / /
Country
Turkey / United States / Australia / United Kingdom / /
Currency
pence / / /
Event
Natural Disaster / /
Facility
University of Western Sydney / University of Auckland / /
IndustryTerm
linear computing / few applications / neural networks / weighted connection network / hydrologic systems / optimum solution / using artificial neural networks / /
Organization
School of Engineering / School of Computing / Engineering and Mathematics / University of Western Sydney / Congress / American Water Resources Association / International Congress / Department of Civil and Environmental Engineering / University of Auckland / Task Committee / /
Person
Haddad / Rahman / /
Position
head / hydrologist / empirical model for daily reference evapotranspiration estimation / genes Head / /
ProgrammingLanguage
J / /
ProvinceOrState
Queensland / Capital Territory / British Columbia / Victoria / Tasmania / New South Wales / /
PublishedMedium
Journal of Hydrologic Engineering / /
Region
eastern Australia / South Wales / east Australia / /
20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Regional flood estimation in Australia: Application of gene expression programming and artifi