• Combined sewer overflow forecasting with feed-forward back-propagation artificial neural network 

      Fernando, Achela; Zhang, Xiujuan; Kinley, Peter F. (World Enformatika Society, 2006)
      A feed-forward, back-propagation Artificial Neural Network (ANN) model has been used to forecast the occurrences of wastewater overflows in a combined sewerage reticulation system. This approach was tested to evaluate its ...
    • 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 ...
    • Role of hidden neurons in a RBF type ANN in stream flow forecasting 

      Fernando, Achela; Shamseldin, Asaad (978-0-9758400-4-7, 2007-12)
      Although the use of Artificial Neural Networks (ANNs) in hydrological forecasting is widespread, the use of ANNs is occasionally treated with some scepticism due to its “Black Box” nature. Their use has posed some discomfort ...