Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone S Traore, YM Wang, T Kerh Agricultural water management 97 (5), 707-714, 2010 | 210 | 2010 |
Neural network estimation of ground peak acceleration at stations along Taiwan high-speed rail system T Kerh, SB Ting Engineering Applications of Artificial Intelligence 18 (7), 857-866, 2005 | 102 | 2005 |
Estimation of groundwater recharge using the chloride mass-balance method, Pingtung Plain, Taiwan CS Ting, T Kerh, CJ Liao Hydrogeology Journal 6, 282-292, 1998 | 92 | 1998 |
Neural networks forecasting of flood discharge at an unmeasured station using river upstream information T Kerh, CS Lee Advances in Engineering Software 37 (8), 533-543, 2006 | 79 | 2006 |
Neural networks approach and microtremor measurements in estimating peak ground acceleration due to strong motion T Kerh, D Chu Advances in Engineering Software 33 (11-12), 733-742, 2002 | 60 | 2002 |
Neural network approach for estimating reference evapotranspiration from limited climatic data in Burkina Faso YM Wang, S Traore, T Kerh WSEAS Transactions on Computers 7 (6), 704-713, 2008 | 57 | 2008 |
Transient fluid-structure interaction in a control valve T Kerh, JJ Lee, LC Wellford | 49 | 1997 |
Monitoring event-based suspended sediment concentration by artificial neural network models YM Wang, S Traore, T Kerh WSEAS Transactions on Computers 5 (7), 359-368, 2008 | 37 | 2008 |
Modelling reference evapotranspiration using feed forward backpropagation algorithm in arid regions of Africa YM Wang, S Traore, T Kerh, JM Leu Irrigation and Drainage 60 (3), 404-417, 2011 | 34 | 2011 |
Applying evapotranspiration reference model and rainfall contribution index for agricultural water management plan in Burkina Faso YM Wang, S Traore, T Kerh African Journal of Agricultural Research 4 (12), 1493-1504, 2009 | 31 | 2009 |
Neural networks approaches for modelling river suspended sediment concentration due to tropical storms YM Wang, T Kerh, S Traore Global NEST Journal 11 (4), 457-466, 2009 | 28 | 2009 |
Analysis of a deformed three-dimensional culvert structure using neural networks T Kerh, YC Yee Advances in Engineering Software 31 (5), 367-375, 2000 | 28 | 2000 |
Evaluation of seismic design values in the Taiwan building code by using artificial neural network T Kerh, JS Lai, D Gunaratnam, R Saunders Computer Modeling in Engineering and Sciences 26 (1), 1, 2008 | 25 | 2008 |
Modeling reference evapotranspiration by generalized regression neural network in semiarid zone of Africa S Traore, YM Wang, T Kerh WSEAS Trans. Inf. Sci. Appl 6, 991-1000, 2008 | 24 | 2008 |
Neural computing with genetic algorithm in evaluating potentially hazardous metropolitan areas result from earthquake T Kerh, D Gunaratnam, Y Chan Neural Computing and Applications 19, 521-529, 2010 | 23 | 2010 |
Computing and modeling for crop yields in Burkina Faso based on climatic data information YM Wang, S Traore, T Kerh WSEAS Transactions on Information Science and Applications 5 (7), 832-842, 2008 | 22 | 2008 |
Assessment of evapotranspiration based on data information models at production sites in Burkina Faso YM Wang, S Traore, T Kerh WSEAS Transactions on Computers 6 (6), 880-887, 2007 | 22 | 2007 |
Treatment and assessment of nonlinear seismic data by a genetic algorithm based neural network model T Kerh, Y Chan, D Gunaratnam International Journal of Nonlinear Sciences and Numerical Simulation 10 (1 …, 2009 | 19 | 2009 |
Estimation of consolidation settlement caused by groundwater drawdown using artificial neural networks T Kerh, YG Hu, CH Wu Advances in Engineering Software 34 (9), 559-568, 2003 | 19 | 2003 |
A mixture neural methodology for computing rice consumptive water requirements in Fada N’Gourma Region, Eastern Burkina Faso S Traore, YM Wang, CE Kan, T Kerh, JM Leu Paddy and Water Environment 8, 165-173, 2010 | 18 | 2010 |