A novel and generalized approach in the inversion of geoelectrical resistivity data using Artificial Neural Networks (ANN)
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
http://link.springer.com/content/pdf/10.1007/s12040-014-0402-7.pdf
Reference44 articles.
1. Ahmad Neyamadpour, WAT Wan Abullah and Samsudin Taib 2010 Inversion of quasi-3D DC resistivity imaging data using artificial neural networks; J. Earth Syst. Sci. 119 27–40
2. Aristodemou E, Pain C, De Oliveira C, Goddard T and Harris C 2005 Inversion of nuclear well-logging data using neural networks; Geophys. Prospect. 53 103–120
3. Backus G E and Gilbert J F 1969 Uniqueness in the inversion of inaccurate gross earth data; Phil. Trans. Roy. Soc. A 266 123–192
4. Batte A G, Muwanga A and Sigrist W P 2008 Evaluating the use of vertical electrical sounding as a groundwater exploration technique to improve on the certainty of borehole yield in Kamuli district (Eastern Uganda); African J. Sci. Technol. (AJST) 9 72–85
5. Baum E and Hausler D 1989 What size net gives valid generalization? In: Advances in Neural Information Processing Systems I (ed.) Touretzky D, Morgan Kaufman, pp. 80–90
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