White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Neural networks in geophysical applications

Van der Baan, M. and Jutten, C. (2000) Neural networks in geophysical applications. Geophysics, 65 (4). pp. 1032-1047. ISSN 0016-8033

Full text available as:
[img]
Preview
Text
vanderBaanm2.pdf
Available under licence : See the attached licence file.

Download (3419Kb)

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
Institution: The University of Leeds
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: 06 Jun 2014 19:00
Status: Published
Refereed: Yes
Identification Number: 10.1190/1.1444797
URI: http://eprints.whiterose.ac.uk/id/eprint/325

Actions (repository staff only: login required)