An improved neural network approach to the determination of aquifer parameters
- 10 January 2006
- journal article
- Published by Elsevier BV in Journal of Hydrology
- Vol. 316 (1-4), 281-289
- https://doi.org/10.1016/j.jhydrol.2005.04.023
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Well hydraulics theory and data analysis of the constant head test in an unconfined aquifer with the skin effectWater Resources Research, 2003
- Aquifer parameters determination for large diameter wells using neural network approachJournal of Hydrology, 2002
- Use of cumulative volume of constant-head injection test to estimate aquifer parameters with skin effects: Field experiment and data analysisWater Resources Research, 2002
- Artificial neural network modeling of water table depth fluctuationsWater Resources Research, 2001
- The Application of Artificial Neural Networks for the Prediction of Water Quality of Polluted AquiferWater, Air, & Soil Pollution, 2000
- Variations in discharge and dissolved organic carbon and nitrogen export from terrestrial basins with changes in climate: A neural network approachLimnology and Oceanography, 1996
- Artificial Neural Network Modeling of the Rainfall‐Runoff ProcessWater Resources Research, 1995
- A Neural‐Network Approach to the Determination of Aquifer ParametersGroundwater, 1992
- Analysis of data from pumping tests in leaky aquifersEOS, Transactions American Geophysical Union, 1956
- On the flow of water in an elastic artesian aquiferEOS, Transactions American Geophysical Union, 1940