Interpretation of airborne electromagnetic data with neural networks

Exploration Geophysics

Volumn 29, Issue 2, 1998, Pages 152-156

  Seiberl, Wolfgang ^a   Ahl, Andreas ^a   Winkler, Edmund ^b  

^a UNIVERSITY OF VIENNA   (Austria)

^b FA Geophysik Tongasse   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85009352744     PISSN: 08123985     EISSN: 18347533     Source Type: Journal    
DOI: 10.1071/EG998152     Document Type: Article

References (7)

1. Anderson, W., 1979, Numerical integration of related Hankel transforms of order 0 and 1 by adaptive digital filtering: Geophysics 44, 1287-1305
2. Anguita, D., Parodi, G. and Zunino, R., 1993, Speed improvement of the back- propagation on current generation workstations, in Proceedings of the World Congress on Neural Networking, Portland, Oregon, 1, Lawrence Erlbaum/INNS Press, 165-168
3. Elliott, D., 1993, A better activation function for artificial neural networks: ISR Technical Report TR93-8, Institute for System Research, University of Maryland.
4. Fahlman, S.E., 1989, Faster learning variations on back-propagation: An empirical study, in D. Touretzky, G. Hinton and T. Sejnowski, Eds: Proc. 1988 Connectionist Summer School., San Mateo, California: Morgan Kaufman.
5. Hohmann, G.W., 1975, Three-dimensional induced polarization and electromagnetic modelling: Geophysics, 40, 309-324.
6. Kruschke, J.K. and Movellan, R., 1991, Benefits of gain: Speeded learning and minimal hidden layers in back-propagation networks: IEEE Transactions on Systems, Man, and Cybernetics 21, 273-280.
7. Wait, J.R, 1982, Geo-Electromagnetism: Academic Press Inc., 121-124.