Skip to main content
Article thumbnail
Location of Repository

Neural networks in geophysical applications\ud

By M. Van der Baan and C. Jutten

Abstract

Neural networks are increasingly popular in geophysics.\ud Because they are universal approximators, these\ud tools can approximate any continuous function with an\ud arbitrary precision. Hence, they may yield important\ud contributions to finding solutions to a variety of geophysical applications.\ud However, knowledge of many methods and techniques\ud recently developed to increase the performance\ud and to facilitate the use of neural networks does not seem\ud to be widespread in the geophysical community. Therefore,\ud the power of these tools has not yet been explored to\ud their full extent. In this paper, techniques are described\ud for faster training, better overall performance, i.e., generalization,and the automatic estimation of network size\ud and architecture

Year: 2000
OAI identifier: oai:eprints.whiterose.ac.uk:325

Suggested articles


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.