T.M.K.G. Fernando

Publications by Year

Research Areas

Neural Networks and Applications, Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Topic Modeling, Statistical Methods and Inference

Most-Cited Works

• → River flow forecasting: use of phase-space reconstruction and artificial neural networks approaches(2002)314 cited
• → Non-linear variable selection for artificial neural networks using partial mutual information(2008)306 cited
• → Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approach(2008)162 cited
• Rainfall-runoff modelling using genetic programming(2005)
• Efficient selection of inputs for artificial neural network models(2005)
• River flow prediction: an artificial neural network approach(2001)
• → REAL TIME PREDICTION OF COASTAL ALGAL BLOOMS USING ARTIFICIAL NEURAL NETWORKS(2004)9 cited
• → Critical Values of a Kernel Density-based Mutual Information Estimator(2006)7 cited
• Comparison of ANN, dynamical systems and support vector approaches for river discharge prediction(2000)
• Assessing Prediction Uncertainty in the BIGMOD Model: A Shuffled Complex Evolution Metropolis Algorithm Approach(2007)