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pro vyhledávání: '"Kyle Mylonakis"'
Publikováno v:
Journal of Computational Physics. 409:109313
We propose a deep learning algorithm for seismic interface and pocket detection with neural networks trained by synthetic high-frequency displacement data efficiently generated by the frozen Gaussian approximation (FGA). In seismic imaging high-frequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fedfa29399454d8b9992363b95fcbd4d
https://doi.org/10.1016/j.jcp.2020.109313
https://doi.org/10.1016/j.jcp.2020.109313
