Data-driven seismic prestack velocity inversion via combining residual network with convolutional autoencoder

Research article (Journal of Applied Geophysics, 2022) · cited 20× · AI/ML
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Data-driven seismic prestack velocity inversion via combining residual network with convolutional autoencoder

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Data-driven seismic prestack velocity inversion via combining residual network with convolutional autoencoder is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data-driven seismic prestack velocity inversion via combining residual network with convolutional autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-seismic-prestack-velocity-inversion-via-combining-residual-network-with-convolutional-autoencoder
MLA “Data-driven seismic prestack velocity inversion via combining residual network with convolutional autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-seismic-prestack-velocity-inversion-via-combining-residual-network-with-convolutional-autoencoder.
BibTeX @misc{4ortxyz_data-driven-seismic-prestack-velocity-inversion-via-combining-residual-network-with-convolutional-autoencoder_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-driven seismic prestack velocity inversion via combining residual network with convolutional autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-seismic-prestack-velocity-inversion-via-combining-residual-network-with-convolutional-autoencoder}, note = {Accessed: 2026-05-24}}
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