Short-term streamflow forecasting with global climate change implications – A comparative study between genetic programming and neural network models
- 2 February 2008
- journal article
- research article
- Published by Elsevier in Journal of Hydrology
- Vol. 352 (3-4) , 336-354
- https://doi.org/10.1016/j.jhydrol.2008.01.023
Abstract
No abstract availableKeywords
This publication has 45 references indexed in Scilit:
- Parameter estimation of an ARMA model for river flow forecasting using goal programmingJournal of Hydrology, 2006
- Multi-time scale stream flow predictions: The support vector machines approachPublished by Elsevier ,2005
- Flow forecasting for a Hawaii stream using rating curves and neural networksJournal of Hydrology, 2005
- Improving the characteristics of streamflow modeled by regional climate modelsJournal of Hydrology, 2003
- An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 2: Structure of a physically-based, distributed modelling systemPublished by Elsevier ,2003
- Linking the pacific decadal oscillation to seasonal stream discharge patterns in Southeast AlaskaJournal of Hydrology, 2002
- Prediction analysis of solid waste generation based on grey fuzzy dynamic modelingResources, Conservation and Recycling, 2000
- Flash flood forecasting model for the Ayalon stream, IsraelHydrological Sciences Journal, 1995
- Computation of the instantaneous unit hydrograph and identifiable component flows with application to two small upland catchments — CommentJournal of Hydrology, 1991
- An introduction to the European Hydrological System — Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling systemJournal of Hydrology, 1986