A novel and generalized approach in the inversion of geoelectrical resistivity data using Artificial Neural Networks (ANN)
Authors:
Open Access
- 20 March 2014
- journal article
- research article
- Published by Springer Nature in Journal of Earth System Science
- Vol. 123 (2) , 395-411
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Assessment of groundwater quality: a fusion of geochemical and geophysical information via Bayesian neural networksEnvironmental Monitoring and Assessment, 2012
- Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using the Hybrid Monte Carlo-based neural network approachNonlinear Processes in Geophysics, 2011
- Inversion of 2-D DC resistivity data using rapid optimization and minimal complexity neural networkNonlinear Processes in Geophysics, 2010
- Artificial neural networks for parameter estimation in geophysicsGeophysical Prospecting, 2000
- Inversion techniques applied to resistivity inverse problemsInverse Problems, 1994
- A hydrogeophysical model for relations between electrical and hydraulic properties of aquifersJournal of Hydrology, 1985
- Geoelectric Soundings for Predicting Aquifer PropertiesGroundwater, 1981
- Estimation of aquifer transmissivity from Dar-Zarrouk parameters in porous mediaJournal of Hydrology, 1981
- INVERSE FILTER COEFFICIENTS FOR THE COMPUTATION OF APPARENT RESISTIVITY STANDARD CURVES FOR A HORIZONTALLY STRATIFIED EARTH*Geophysical Prospecting, 1971
- A PRACTICAL METHOD OF CALCULATING GEOELECTRICAL MODEL GRAPHS FOR HORIZONTALLY STRATIFIED MEDIA*Geophysical Prospecting, 1955