Articles | Volume 16, issue 8
Hydrol. Earth Syst. Sci., 16, 3061–3074, 2012

Special issue: Assessing the impact of climate change for adaptive water...

Hydrol. Earth Syst. Sci., 16, 3061–3074, 2012

Research article 29 Aug 2012

Research article | 29 Aug 2012

Combining ground-based and airborne EM through Artificial Neural Networks for modelling glacial till under saline groundwater conditions

J. L. Gunnink et al.

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
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Cited articles

Aminzadeh, F. and de Groot, P.: Neural Networks and other soft computing techniques with applications in the oil industry, EAGE Publications, The Netherlands, 2006.
Auken, E., Christiansen, A. V., Jacobsen, B. H., and Foged, N.: Piecewise 1-D laterally constrained inversion of resistivity data, Geophys. Prospect., 53, 497–506, 2005.
Auken, E., Christiansen, A. V., Westergaard, J. A., Kirkegaard, C., Foged, N., and Viezzoli, A.: An integrated processing scheme for high-resolution airborne electromagnetic surveys, the SkyTEM system, Explor. Geophys., 40, 184–192, 2009.
Auken, E., Kirkegaard, C., Ribeiro, J., Foged, N., and Kok, A.: The use of airborne electromagnetic for efficient mapping of salt water intrusion and outflow to the sea SWIM21, Azores island, 2010.
Bhattacharya, N. and Solamatine, D. P.: Machine learning in soil classification, Neural Networks, 19, 186–195, 2006.