Effective Numerical Dispersion Suppression in 3D Seismic Modeling
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65238-7_19
Reference17 articles.
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3. Fukushima, K.: Visual feature extraction by a multilayered network of analog threshold elements. IEEE Trans. Syst. Sci. Cybern. 5(4), 322–333 (1969). https://doi.org/10.1109/TSSC.1969.300225
4. Gadylshin, K., Lisitsa, V.V., Gadylshina, K., Vishnevsky, D.M.: Frequency domain numerical dispersion mitigation network. In: Gervasi, O., et al. (eds.) Computational Science and Its Applications - ICCSA 2023 Workshops - Athens, Greece, July 3-6, 2023, Proceedings, Part III. LNCS, vol. 14106, pp. 31–44. Springer (2023). https://doi.org/10.1007/978-3-031-37111-0_3
5. Gadylshin, K., Lisitsa, V.V., Vishnevsky, D.M., Gadylshina, K.: Hausdorff-distance-based training dataset construction for numerical dispersion mitigation neural network. Comput. Geosci. 180, 105438 (2023). https://doi.org/10.1016/J.CAGEO.2023.105438
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