Neural networks in geophysical applications
Author:
Affiliation:
1. Université Joseph Fourier, Laboratoire de Géophysique Interne et Tectonophysique, BP 53, 38041 Grenoble Cedex, France.
2. Laboratoire des Images et des Signaux, Institut National Polytechnique, 46 av. Félix Viallet, 38031 Grenoble Cedex, France.
Abstract
Publisher
Society of Exploration Geophysicists
Subject
Geochemistry and Petrology,Geophysics
Link
https://library.seg.org/doi/pdf/10.1190/1.1444797
Reference87 articles.
1. Statistical predictor identification
2. Almeida, L. B., 1994, Neural preprocessing methods,inCherkassy, V., Frieman, J. H., and Wechsler, H., Eds., From statistics to neural networks: Theory and pattern recognition applications: Springer‐Verlag, 213–225.
3. First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method
4. What Size Net Gives Valid Generalization?
5. Berthold, M. R., and Diamond, J., 1995, Boosting the performance of RBF networks with dynamic decay adjustment,inTesauro, G., Touretzky, D. S., and Leen, T. K., Eds., Advances in neural processing information systems7: MIT Press, 521–528.
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