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Neural network model field of the first arrival of seismic waves in Ukraine

Application of DSS data of seismic studies in Ukraine to build models of neural network for time arrival field of seismic signals that allow to construct hodographs of longitudinal waves along arbitrarily oriented sections in regions that do not have seismic observations or to adjust velocity sectio...

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Bibliographische Detailangaben
Datum:	2016
Hauptverfasser:	Lazarenko, M. A., Gerasimenko, O. A., Ostapchuk, N. N.
Format:	Artikel
Sprache:	Russisch
Veröffentlicht:	S. Subbotin Institute of Geophysics of the NAS of Ukraine 2016
Schlagworte:	neural network simulation time of longitudinal wave arrival seismic research DSS the method of reverse transmission error loss function hodograph
Online Zugang:	https://journals.uran.ua/geofizicheskiy/article/view/107726
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Geofizicheskiy Zhurnal

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Geofizicheskiy Zhurnal

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