| Optimizing the reservoir operating rule curves by genetic algorithms FJ Chang, L Chen, LC Chang Hydrological Processes: An International Journal 19 (11), 2277-2289, 2005 | 389 | 2005 |
| Reply to “Comment on ‘Comparison of static-feedforward and dynamic feedback neural networks for rainfall-runoff modeling’by YM Chiang, LC Chang, and FJ Chang, 2004. Journal of … FJ Chang, LC Chang, YM Chiang | 300* | 2005 |
| Comparison of Static Feedforward and Dynamic Feedback Neural Networks for Rainfall-Runoff Modeling YM Chiang, LC Chang, FJ Chang Journal of Hydrology 290 (3-4), 297-311, 2004 | 296 | 2004 |
| Intelligent control for modelling of real‐time reservoir operation LC Chang, FJ Chang Hydrological processes 15 (9), 1621-1634, 2001 | 289 | 2001 |
| Exploring a Long Short-Term Memory based Encoder-Decoder framework for multi-step-ahead flood forecasting IF Kao, Y Zhou, LC Chang, FJ Chang Journal of Hydrology 583, 124631, 2020 | 258 | 2020 |
| Explore a deep learning multi-output neural network for regional multi-step-ahead air quality forecasts Y Zhou, FJ Chang, LC Chang, IF Kao, YS Wang Journal of cleaner production 209, 134-145, 2019 | 234 | 2019 |
| Multi-objective evolutionary algorithm for operating parallel reservoir system LC Chang, FJ Chang Journal of hydrology 377 (1-2), 12-20, 2009 | 205 | 2009 |
| Constrained genetic algorithms for optimizing multi-use reservoir operation LC Chang, FJ Chang, KW Wang, SY Dai Journal of Hydrology 390 (1-2), 66-74, 2010 | 189 | 2010 |
| The strategy of building a flood forecast model by neuro‐fuzzy network SH Chen, YH Lin, LC Chang, FJ Chang Hydrological Processes: An International Journal 20 (7), 1525-1540, 2006 | 177 | 2006 |
| Multi-step-ahead neural networks for flood forecasting FJ Chang, YM Chiang, LC Chang Hydrological sciences journal 52 (1), 114-130, 2007 | 168 | 2007 |
| Real‐time recurrent learning neural network for stream‐flow forecasting FJ Chang, LC Chang, HL Huang Hydrological processes 16 (13), 2577-2588, 2002 | 156 | 2002 |
| Prediction of monthly regional groundwater levels through hybrid soft-computing techniques FJ Chang, LC Chang, CW Huang, IF Kao Journal of Hydrology 541, 965-976, 2016 | 149 | 2016 |
| Reinforced Recurrent Neural Networks for Multi-Step-Ahead Flood Forecasts PA Chen, LC Chang, FJ Chang Journal of Hydrology, 2013 | 131 | 2013 |
| Guiding rational reservoir flood operation using penalty-type genetic algorithm LC Chang Journal of Hydrology 354 (1-4), 65-74, 2008 | 130 | 2008 |
| Multi-output support vector machine for regional multi-step-ahead PM2. 5 forecasting Y Zhou, FJ Chang, LC Chang, IF Kao, YS Wang, CC Kang Science of the Total Environment 651, 230-240, 2019 | 127 | 2019 |
| Assessing the effort of meteorological variables for evaporation estimation by self-organizing map neural network FJ Chang, LC Chang, HS Kao, GR Wu Journal of Hydrology 384 (1-2), 118-129, 2010 | 125 | 2010 |
| Regional flood inundation nowcast using hybrid SOM and dynamic neural networks LC Chang, HY Shen, FJ Chang Journal of Hydrology 519, 476-489, 2014 | 118 | 2014 |
| A two‐step‐ahead recurrent neural network for stream‐flow forecasting LC Chang, FJ Chang, YM Chiang Hydrological Processes 18 (1), 81-92, 2004 | 116 | 2004 |
| Intelligent control for modeling of real‐time reservoir operation, part II: artificial neural network with operating rule curves YT Chang, LC Chang, FJ Chang Hydrological Processes: An International Journal 19 (7), 1431-1444, 2005 | 113 | 2005 |
| Clustering-based hybrid inundation model for forecasting flood inundation depths LC Chang, HY Shen, YF Wang, JY Huang, YT Lin Journal of hydrology 385 (1-4), 257-268, 2010 | 110 | 2010 |
Fi-John ChangDistinguished Professor of Bioenvironmental Systems Engineering, National Taiwan UniversityVerified email at ntu.edu.tw
