Neural network modeling in the problem of localization earthquake of Ukraine

• Date: 2020
• Main Authors: Gerasymenko, O.O., Shumlyanska, L.O., Nadezhka, L.I., Pivovarov, S.P., Ganiev, O.Z., Ostapchuk, N.M., Shipko, N.L.
• Format: Article
• Language: Ukrainian
• Published: S. Subbotin Institute of Geophysics of the NAS of Ukraine 2020
• Subjects: source; earthquake; localization; neural networks; modeling; hodograph; seismic stations; territory; Ukraine; waves; estimation; real time; process; warning
• Online Access: https://journals.uran.ua/geofizicheskiy/article/view/201743
• Journal Title: Geofizicheskiy Zhurnal

An example of using the capabilities of neural network modeling in the problem of localizing the sources of earthquakes in the territory of Ukraine registered by the network of seismic stations of the Institute of Geophysics of the National Academy of Sciences of Ukraine: «Odessa», «Squira», «Poltav...