Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP0345628
Funding Status
Closed
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Funded Activity Summary
New Techniques for Artificial Neural Network Modelling in Hydrology. In recent years, artificial neural networks (ANNs) have demonstrated the potential to provide improved predictions when compared with the more traditional hydrological modelling techniques in a number of areas. These include the prediction of rainfall, streamflow and water quality parameters. However, one of the major difficulties associated with the application of ANNs is the lack of an established methodology for their design and implementation. This research will develop new methods for constructing ANN models and test them on a number of case studies so that the full potential and genuine utility of ANNs for solving hydrological problems can be assessed.Funded Activity Details
Start Date: 03-2003
End Date: 12-2006
Funding Scheme: Discovery Projects
Funding Amount: $130,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Neural Networks, Genetic Alogrithms And Fuzzy Logic | Hydrology Not Elsewhere Classified | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Land and water management | Application tools and system utilities | Global climate change adaptation measures |
