Automated design of a convolutional neural network with multi-scale filters for cost-efficient seismic data classification
oleh: Zhi Geng, Yanfei Wang
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-07-01 |
Deskripsi
The authors present an automated design approach to propose a new neural network architecture for seismic data analysis. The new architecture classifies multiple seismic reflection datasets at extremely low computational cost compared with conventional architectures for image classification.