Modeling Marine Electromagnetic Survey with Radial Basis Function Networks
 This manuscript is an extended version of our previous paper, entitled Radial Basis Function Networks for Modeling Marine Electromagnetic Survey, which had been presented on 2011 International Conference on Electrical Engineering and Informatics, 17-19 July 2011, Bandung, Indonesia.
Constable, S. & Weiss, C.J., Mapping Thin Resistors and Hydrocarbons with Marine EM Methods: Insights From 1D Modeling, Geophysics, 71(2), March-April 2006.
Baan, M. van der & Jutten, C., Neural Networks in Geophysical Appli-Cations, Geophysics, 65(4), pp. 1032–1047, July-Aug. 2000.
COMSOL AB, COMSOL Multiphysics Quick Start and Quick Refe-rence, version 3.5a, Nov. 2008.
COMSOL AB, RF Module User’s Guide, version 3.5a, Nov. 2008.
Key, K., 1D Inversion of Multicomponent, Multifrequency Marine CSEM Data: Methodology and Synthetic Studies for Resolving Thin Resistive Layers, Geophysics, 74(2), March–April 2009.
Arif, A., Asirvadam, V.A. & Karsiti, M.N., Forward Modeling of Seabed Logging using COMSOL Multiphysics, 10th Biannual Postgraduate Research Symposium, UTP, July 2010.
Bishop, C.M., Neural Networks for Pattern Recognition, Oxford University Press, chap. 5, 1994.
Arif, A., Asirvadam, V.A. & Karsiti, M.N., Forward Modeling of Seabed Logging with Controlled Source Electromagnetic Method using Multilayer Perceptron, IEEE Asia Pacific Conference on Applied Electromagnetic (APACE), Nov. 2010.
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