Aquifer parameters determination for large diameter wells using neural network approach
- 16 July 2002
- journal article
- Published by Elsevier in Journal of Hydrology
- Vol. 265 (1-4) , 118-128
- https://doi.org/10.1016/s0022-1694(02)00103-8
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Variations in discharge and dissolved organic carbon and nitrogen export from terrestrial basins with changes in climate: A neural network approachLimnology and Oceanography, 1996
- Stream hydrological and ecological responses to climate change assessed with an artificial neural networkLimnology 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
- Numerical analysis of large diameter wells with a seepage face — CommentJournal of Hydrology, 1990
- Transient Flow to a Large‐Diameter Well in an Aquifer With Storative Semiconfining LayersWater Resources Research, 1985
- Drawdown in a well of large diameterWater Resources Research, 1967
- Author's reply to the preceding discussion [on “Analysis of data from pumping wells near a river”]Journal of Geophysical Research, 1960
- Non‐steady radial flow in an infinite leaky aquiferEOS, Transactions American Geophysical Union, 1955
- A logical calculus of the ideas immanent in nervous activityBulletin of Mathematical Biology, 1943