Recognizing em ellipticity patterns with neural networks

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

doi:10.1190/1.1889591

Recognizing em ellipticity patterns with neural networks

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

Research output: Contribution to conference › Paper › peer-review

2 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 language	English (US)
Pages	208-212
Number of pages	5
DOIs	https://doi.org/10.1190/1.1889591
State	Published - 1989
Event	1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989 - Dallas, United States Duration: Oct 29 1989 → Nov 2 1989

Other

Other	1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989
Country/Territory	United States
City	Dallas
Period	10/29/89 → 11/2/89

ASJC Scopus subject areas

Geophysics

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10.1190/1.1889591

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title = "Recognizing em ellipticity patterns with neural networks",

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.",

author = "Poulton, {Mary M.} and Glass, {Charles E.} and Sternberg, {Ben K.}",

note = "Funding Information: Funding for this project was provided by the University of Arizona MMRRI and the U.S. Bureau of Mines under grant number G1184104. Publisher Copyright: {\textcopyright} 1989 Society of Exploration Geophysicists. All rights reserved.; 1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989 ; Conference date: 29-10-1989 Through 02-11-1989",

year = "1989",

doi = "10.1190/1.1889591",

language = "English (US)",

pages = "208--212",

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T1 - Recognizing em ellipticity patterns with neural networks

AU - Poulton, Mary M.

AU - Glass, Charles E.

AU - Sternberg, Ben K.

N1 - Funding Information: Funding for this project was provided by the University of Arizona MMRRI and the U.S. Bureau of Mines under grant number G1184104. Publisher Copyright: © 1989 Society of Exploration Geophysicists. All rights reserved.

PY - 1989

Y1 - 1989

N2 - 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.

AB - 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.

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T2 - 1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989

Y2 - 29 October 1989 through 2 November 1989

ER -

Recognizing em ellipticity patterns with neural networks

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