A single graph mixture density network trained on random 2D velocity models and station layouts can produce posterior velocity maps for synthetic and real seismic datasets of different sizes and scales.
Deep-learning tomography.The Leading Edge, 37(1):58–66, 2018
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Solving All Seismic Tomographic Problems using Deep Learning
A single graph mixture density network trained on random 2D velocity models and station layouts can produce posterior velocity maps for synthetic and real seismic datasets of different sizes and scales.