Zobrazeno 1 - 3
of 3
pro vyhledávání: '"James C. Hateley"'
Publikováno v:
Web of Science
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
The purpose of this work is to generalize the frozen Gaussian approximation (FGA) theory to solve the 3-D elastic wave equation and use it as the forward modeling tool for seismic tomography with high-frequency data. FGA has been previously developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf252c69f10f53e698c184d7b682766f
http://arxiv.org/abs/1810.06760
http://arxiv.org/abs/1810.06760