A hybrid residual neural network–Monte Carlo approach to invert surface wave dispersion data
Author:
Affiliation:
1. Earth Sciences Department University of Pisa via S. Maria 53 Pisa 56126 Italy
Publisher
Wiley
Subject
Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/nsg.12163
Reference62 articles.
1. Transdimensional and Hamiltonian Monte Carlo inversions of Rayleigh‐wave dispersion curves: a comparison on synthetic datasets
2. Combining discrete cosine transform and convolutional neural networks to speed up the Hamiltonian Monte Carlo inversion of pre‐stack seismic data
3. A two-step inversion approach for seismic-reservoir characterization and a comparison with a single-loop Markov-chain Monte Carlo algorithm
4. Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks
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