Hopfield model of neural networks for detection of bright spots

Kou-Yuan Huang, W. H. Liu, I. C. Chang

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

J. J. Hopfield at California Institute of Technology had proposed his famous neural networks and applied successfully in many applications. We have applied Hopfield net in our seismic pattern recognition system to detect bright-spot pattern from the simulated seismogram corrupted with noise. The Hopfield net can also recognize bright-spot, pinch-out.....etc.. The recognition power is quite surprising. Neural network computing is quite promising and may be a breakthrough in seismic pattern recognitions and seismic interpretations.

Original languageEnglish
Pages444-446
Number of pages3
StatePublished - 1 Jan 1989
Event1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989 - Dallas, United States
Duration: 29 Oct 19892 Nov 1989

Conference

Conference1989 Society of Exploration Geophysicists Annual Meeting, SEG 1989
CountryUnited States
CityDallas
Period29/10/892/11/89

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