| On the relevance of using artificial neural networks for estimating soil moisture content A Elshorbagy, K Parasuraman Journal of Hydrology 362 (1-2), 1-18, 2008 | 169 | 2008 |
| Modelling the dynamics of the evapotranspiration process using genetic programming K Parasuraman, A Elshorbagy, SK Carey Hydrological Sciences Journal 52 (3), 563-578, 2007 | 161 | 2007 |
| Estimating saturated hydraulic conductivity in spatially variable fields using neural network ensembles K Parasuraman, A Elshorbagy, BC Si Soil Science Society of America Journal 70 (6), 1851-1859, 2006 | 87 | 2006 |
| Estimating Saturated Hydraulic Conductivity Using Genetic Programming K Parasuraman, A Elshorbagy, BC Si Soil Science Society of America Journal 71 (6), 1676-1684, 2007 | 78 | 2007 |
| Cluster-based hydrologic prediction using genetic algorithm-trained neural networks K Parasuraman, A Elshorbagy Journal of Hydrologic Engineering 12 (1), 52-62, 2007 | 53 | 2007 |
| Toward improving the reliability of hydrologic prediction: Model structure uncertainty and its quantification using ensemble‐based genetic programming framework K Parasuraman, A Elshorbagy Water Resources Research 44 (12), 2008 | 49 | 2008 |
| Spiking modular neural networks: A neural network modeling approach for hydrological processes K Parasuraman, A Elshorbagy, SK Carey Water Resources Research 42 (5), 2006 | 46 | 2006 |
| River stage forecasting using wavelet packet decomposition and machine learning models Y Seo, S Kim, O Kisi, VP Singh, K Parasuraman Water Resources Management 30, 4011-4035, 2016 | 45 | 2016 |
| Wavelet networks: an alternative to classical neural networks K Parasuraman, A Elshorbagy Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 19 | 2005 |
| Hydrologic prediction using pattern recognition and soft-computing techniques K Parasuraman University of Saskatchewan, 2007 | 7 | 2007 |
| Deterministic and probabilistic approaches to the development of pH total maximum daily loads: a comparative analysis A Elshorbagy, K Parasuraman, G Putz, L Ormsbee Journal of hydroinformatics 9 (3), 203-213, 2007 | 4 | 2007 |
| Toward bridging the gap between data-driven and mechanistic models: cluster-based neural networks for hydrologic processes A Elshorbagy, K Parasuraman Practical Hydroinformatics: Computational Intelligence and Technological …, 2008 | 3 | 2008 |
| Evaluating the Performance of Neural Networks in Modeling Soil Moisture K Parasuraman Geophysical Research Abstracts 9, 01827, 2007 | | 2007 |
| Model structure uncertainty in characterizing hydrological processes and its quantification using genetic-programming K Parasuraman Geophysical Research Abstracts 9, 01070, 2007 | | 2007 |
Amin ElshorbagyProfessor Emeritus, University of SaskatchewanBestätigte E-Mail-Adresse bei usask.ca
