Adaptive neuro-fuzzy inference system for prediction of water level in reservoir FJ Chang, YT Chang Advances in water resources 29 (1), 1-10, 2006 | 746 | 2006 |
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 | 395 | 2005 |
A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction FJ Chang, YC Chen Journal of hydrology 245 (1-4), 153-164, 2001 | 350 | 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 | 310 | 2020 |
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 | 310 | 2004 |
Intelligent control for modelling of real‐time reservoir operation LC Chang, FJ Chang Hydrological processes 15 (9), 1621-1634, 2001 | 293 | 2001 |
Real-time multi-step-ahead water level forecasting by recurrent neural networks for urban flood control FJ Chang, PA Chen, YR Lu, E Huang, KY Chang Journal of Hydrology 517, 836-846, 2014 | 290 | 2014 |
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 | 266 | 2019 |
Arsenite-oxidizing and arsenate-reducing bacteria associated with arsenic-rich groundwater in Taiwan VHC Liao, YJ Chu, YC Su, SY Hsiao, CC Wei, CW Liu, CM Liao, ... Journal of contaminant hydrology 123 (1-2), 20-29, 2011 | 245 | 2011 |
HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community C Shen, E Laloy, A Elshorbagy, A Albert, J Bales, FJ Chang, S Ganguly, ... Hydrology and Earth System Sciences 22 (11), 5639-5656, 2018 | 229 | 2018 |
Multi-objective evolutionary algorithm for operating parallel reservoir system LC Chang, FJ Chang Journal of hydrology 377 (1-2), 12-20, 2009 | 209 | 2009 |
Evolutionary artificial neural networks for hydrological systems forecasting Y Chen, FJ Chang Journal of Hydrology 367 (1-2), 125-137, 2009 | 200 | 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 | 193 | 2010 |
Real-coded genetic algorithm for rule-based flood control reservoir management FJ Chang, L Chen Water resources management 12, 185-198, 1998 | 181 | 1998 |
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 | 179 | 2006 |
Multi-step-ahead neural networks for flood forecasting FJ Chang, YM Chiang, LC Chang Hydrological sciences journal 52 (1), 114-130, 2007 | 173 | 2007 |
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 | 166 | 2016 |
Real‐time recurrent learning neural network for stream‐flow forecasting FJ Chang, LC Chang, HL Huang Hydrological processes 16 (13), 2577-2588, 2002 | 160 | 2002 |
Modeling water quality in an urban river using hydrological factors–Data driven approaches FJ Chang, YH Tsai, PA Chen, A Coynel, G Vachaud Journal of environmental management 151, 87-96, 2015 | 158 | 2015 |
Dynamic ANN for precipitation estimation and forecasting from radar observations YM Chiang, FJ Chang, BJD Jou, PF Lin Journal of Hydrology 334 (1-2), 250-261, 2007 | 146 | 2007 |