Hybrid neural network models for hydrologic time series forecasting
Top Cited Papers
- 31 March 2007
- journal article
- Published by Elsevier BV in Applied Soft Computing
- Vol. 7 (2), 585-592
- https://doi.org/10.1016/j.asoc.2006.03.002
Abstract
No abstract availableKeywords
This publication has 38 references indexed in Scilit:
- Time series forecasting using a hybrid ARIMA and neural network modelNeurocomputing, 2003
- An artificial neural network approach to rainfall-runoff modellingHydrological Sciences Journal, 1998
- Application of a neural network technique to rainfall-runoff modellingJournal of Hydrology, 1997
- Sales forecasting using time series and neural networksComputers & Industrial Engineering, 1996
- Artificial neural networks as rainfall-runoff modelsHydrological Sciences Journal, 1996
- Designing a neural network for forecasting financial and economic time seriesNeurocomputing, 1996
- Time series predictions with neural nets: Application to airborne pollen forecastingInternational Journal of Biometeorology, 1993
- Adaptive real-time forecast of river flow-rates from rainfall dataJournal of Hydrology, 1980
- Application of seasonal parametric linear stochastic models to monthly flow dataWater Resources Research, 1974
- A New Approach to Linear Filtering and Prediction ProblemsJournal of Basic Engineering, 1960