Data Compression of Seismic Images by Neural Networks Compression d'images sismiques par des réseaux neuronaux
Neural networks with the multi-layered perceptron architecture were trained on an autoassociation task to compress 2D seismic data. Networks with linear transfer functions outperformed nonlinear neural nets with single or multiple hidden layers. This indicates that the correlational structure of the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2006-11-01
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| Series: | Oil & Gas Science and Technology |
| Online Access: | http://dx.doi.org/10.2516/ogst:1992032 |