Recurrent network cells, particularly GRU and LSTM, produce more accurate velocity models from synthetic seismic gathers than the prior CNN baseline, with the RNN using up to 78% fewer parameters.
Araya-Polo, J
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Deep Recurrent Architectures for Seismic Tomography
Recurrent network cells, particularly GRU and LSTM, produce more accurate velocity models from synthetic seismic gathers than the prior CNN baseline, with the RNN using up to 78% fewer parameters.