Using neural networks for parameter estimation in ground water
- 24 August 2005
- journal article
- Published by Elsevier in Journal of Hydrology
- Vol. 318 (1-4) , 215-231
- https://doi.org/10.1016/j.jhydrol.2005.05.028
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Aquifer parameters determination for large diameter wells using neural network approachJournal of Hydrology, 2002
- Use of GA to Determine Areas of Accretionto Semiconfined AquiferJournal of Hydraulic Engineering, 2001
- Model Identification Criteria for Inverse Estimation of Hydraulic ParametersGroundwater, 1998
- Programmer's documentation for MODFLOW-96, an update to the U.S. Geological Survey modular finite-difference ground-water flow modelPublished by US Geological Survey ,1996
- Pilot Point Methodology for Automated Calibration of an Ensemble of Conditionally Simulated Transmissivity Fields: 2. ApplicationWater Resources Research, 1995
- Neural Networks in Civil Engineering. I: Principles and UnderstandingJournal of Computing in Civil Engineering, 1994
- ISIM3D: An ANSI-C three-dimensional multiple indicator conditional simulation programComputers & Geosciences, 1990
- Estimation of Aquifer Parameters Under Transient and Steady State Conditions: 2. Uniqueness, Stability, and Solution AlgorithmsWater Resources Research, 1986
- A geostatistical approach to the inverse problem in groundwater modeling (steady state) and one‐dimensional simulationsWater Resources Research, 1983
- Use of Linear Programing for Estimating Geohydrologic Parameters of Groundwater BasinsWater Resources Research, 1971