A chilean seismic regionalization through a Kohonen neural network

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dc.creatorReyes, Jorge
dc.creatorCardenas, Victor H.
dc.date2008-12-05
dc.date.accessioned2026-07-07T12:09:50Z
dc.date.available2026-07-07T12:09:50Z
dc.descriptionA study of seismic regionalization for central Chile based on a neural network is presented. A scenario with six seismic regions is obtained, independently of the size of the neighborhood or the reach of the correlation between the cells of the grid. The high correlation between the spatial distribution of the seismic zones and geographical data confirm our election of the training vectors of the neural network.
dc.description4 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/0812.1198
dc.identifierhttp://arxiv.org/abs/0812.1198
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/209761
dc.subjectGeophysics
dc.titleA chilean seismic regionalization through a Kohonen neural network
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