Van der Baan, M. and Jutten, C. (2000) Neural networks in geophysical applications. Geophysics, 65 (4). pp. 1032-1047. ISSN 0016-8033
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Abstract
Neural networks are increasingly popular in geophysics. Because they are universal approximators, these tools can approximate any continuous function with an arbitrary precision. Hence, they may yield important contributions to finding solutions to a variety of geophysical applications. However, knowledge of many methods and techniques recently developed to increase the performance and to facilitate the use of neural networks does not seem to be widespread in the geophysical community. Therefore, the power of these tools has not yet been explored to their full extent. In this paper, techniques are described for faster training, better overall performance, i.e., generalization,and the automatic estimation of network size and architecture.
| Item Type: | Article |
|---|---|
| Copyright, Publisher and Additional Information: | © 2000 Society of Exploration Geophysicists |
| Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) |
| Depositing User: | Sherpa Assistant |
| Date Deposited: | 04 Mar 2005 |
| Last Modified: | 08 Feb 2013 17:01 |
| Status: | Published |
| Refereed: | Yes |
| Identification Number: | 10.1190/1.1444797 |
| URI: | http://eprints.whiterose.ac.uk/id/eprint/325 |
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