• Comparison of two data-driven approaches for daily river flow forecasting 

      Fernando, Achela; Shamseldin, Asaad; Abrahart, Robert (The Modelling and Simulation Society of Australia and New Zealand, 2011-12)
      Ongoing research on the use of data-driven techniques for rainfall-runoff modelling and forecasting has stimulated our desire to compare the effectiveness of transparent and black-box type models. Previous studies have ...
    • River flow forecasting using gene expression programming models 

      Fernando, Achela; Shamseldin, Asaad; Abrahart, Robert (2012-07)
      River flow forecasting models provide an essential tool to manage water resources, address problems associated with both excesses and deficits, and to find suitable solutions. With changing climate and environmental ...
    • Use of gene expression programing for multi-model combination of rainfall-runoff models 

      Fernando, Achela; Shamseldin, Asaad; Abrahart, Robert (American Society of Civil Engineers, 2012)
      This paper deals with the application of an innovative method for combining estimated outputs from a number of rainfall-runoff models using Gene Expression Programming (GEP) to perform symbolic regression. The GEP multi-model ...

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