Integrating multiple seismic attributes for fault detection using a new hybrid machine learning
Abstract This paper proposes a novel hybrid approach for fault detection in seismic data by integrating multiple seismic features using a novel hybrid machine. This hybrid method introduces the integration of Multilayer Perceptron (MLP) neural networks with Support Vector Machines (SVM). The main ob...
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| Główni autorzy: | , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2025-11-01
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| Seria: | Scientific Reports |
| Hasła przedmiotowe: | |
| Dostęp online: | https://doi.org/10.1038/s41598-025-26889-y |
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