Artificial intelligence in geophysics: Opportunities and risks
The article briefly reviews some artificial intelligence methods successfully used to process and interpret logging data and for seismology and geothermy. The possibilities of artificial neural networks, the Support Vector Machines, the Random Forest method, and genetic algorithms are highlighted. T...
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| Date: | 2025 |
|---|---|
| Main Author: | Bakhova, N.I. |
| Format: | Article |
| Language: | English |
| Published: |
S. Subbotin Institute of Geophysics of the NAS of Ukraine
2025
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| Subjects: | |
| Online Access: | https://journals.uran.ua/geofizicheskiy/article/view/322463 |
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| Journal Title: | Geofizicheskiy Zhurnal |
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