Recognizing em ellipticity patterns with neural networks

Mary M Poulton, Charles E. Glass, Ben K Sternberg

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

The interpretation of surface electromagnetic ellipticity measurements is treated as a pattern recognition problem vis a vis an inverse problem. A parallel distributed processing or neural network approach is used for the pattern recognition. A feed forward, backpropagation network is trained to recognize the spatial location of an anomaly given ellipticity patterns from 20 theoretical models. The network has demonstrated an ability to form abstractions and generalizations when presented with ellipticity patterns that are not part of the training set.

Original languageEnglish (US)
Pages208-212
Number of pages5
StatePublished - Jan 1 1989
Event1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989 - Dallas, United States
Duration: Oct 29 1989Nov 2 1989

Other

Other1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989
CountryUnited States
CityDallas
Period10/29/8911/2/89

ASJC Scopus subject areas

  • Geophysics

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