Comparison of ANN approach with 2D and 3D hydrodynamic models for simulating estuary water stage
Authors:
- Wei-Bo ChenWei-Bo Chen
- Wen-Cheng LiuWLWen-Cheng Liu
- Ming-Hsi HsuMHMing-Hsi Hsu
- 1 March 2012
- journal article
- Published by Elsevier in Advances in Engineering Software
- Vol. 45 (1) , 69-79
Abstract
No abstract availableThis publication has 30 references indexed in Scilit:
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time seriesJournal of Hydrology, 2009
- The role of meteorological forcing on the St. Johns River (Northeastern Florida)Journal of Hydrology, 2009
- Artificial neural network modeling of the river water quality—A case studyEcological Modelling, 2009
- Three‐dimensional hydrodynamic and salinity transport modelling of Danshuei River estuarine system and adjacent coastal sea, TaiwanHydrological Processes, 2007
- Storm tide simulation in the Chesapeake Bay using an unstructured grid modelEstuarine, Coastal and Shelf Science, 2006
- APPLICATION OF GREY MODEL AND ARTIFICIAL NEURAL NETWORKS TO FLOOD FORECASTINGJawra Journal of the American Water Resources Association, 2006
- Tidal level forecasting using functional and sequential learning neural networksApplied Mathematical Modelling, 2006
- Flood routing with real-time stage correction method for flash flood forecasting in the Tanshui River, TaiwanJournal of Hydrology, 2003
- River flood forecasting with a neural network modelWater Resources Research, 1999
- Training feedforward networks with the Marquardt algorithmIEEE Transactions on Neural Networks, 1994