Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
This work considers the task of automatic identification of discontinuities from high resolution 2D seismoacoustic data. The training of artificial intelligence in this work was performed exclusively on real multifrequency seismoacoustic data, which were marked by an expert. As a result of the work the main problems arising at the decision of a task of creation of the automated marking tool on the basis of the real data marked out by the person have been allocated. The importance of selecting a loss function and the possibility of applying radical data compression while keeping the result close to human markup were noted.
Translated title of the contribution | Use artificial neural networks to identify geohazards from marine multifrequency seismoacoustic data |
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Original language | Russian |
Title of host publication | 17th Conference and Exhibition Engineering and Mining Geophysics 2021 |
Publisher | European Association of Geoscientists and Engineers |
ISBN (Electronic) | 9789462823723 |
ISBN (Print) | 9789462823723 |
DOIs | |
State | Published - 2021 |
Event | 17th Conference and Exhibition Engineering and Mining Geophysics 2021 - Геленджик, Russian Federation Duration: 26 Apr 2021 → 30 Apr 2021 |
Name | Engineering and Mining Geophysics 2021 |
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Conference | 17th Conference and Exhibition Engineering and Mining Geophysics 2021 |
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Country/Territory | Russian Federation |
City | Геленджик |
Period | 26/04/21 → 30/04/21 |
ID: 85751619