A simple neural network model for the determination of aquifer parameters
- 7 April 2007
- journal article
- Published by Elsevier BV in Journal of Hydrology
- Vol. 340 (1-2), 1-11
- https://doi.org/10.1016/j.jhydrol.2007.03.017
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- An improved neural network approach to the determination of aquifer parametersJournal of Hydrology, 2006
- Using neural networks for parameter estimation in ground waterJournal of Hydrology, 2005
- On the use of neural networks to evaluate groundwater levels in fractured mediaJournal of Hydrology, 2005
- Groundwater level forecasting using artificial neural networksJournal of Hydrology, 2005
- A spatial interpolation method based on radial basis function networks incorporating a semivariogram modelJournal of Hydrology, 2004
- A non-linear rainfall-runoff model using radial basis function networkJournal of Hydrology, 2003
- Comparison of short-term rainfall prediction models for real-time flood forecastingJournal of Hydrology, 2000
- Empirical comparison of various methods for training feed‐Forward neural networks for salinity forecastingWater Resources Research, 1999
- Application of a neural network technique to rainfall-runoff modellingJournal of Hydrology, 1997
- Optimization of groundwater remediation using artificial neural networks with parallel solute transport modelingWater Resources Research, 1994