1887

Abstract

An artificial neural network (ANN) is used to identify P- and S- wave arrivals from seismic data. Identification is achieved by utilizing the polarization state as a function of time, input directly into a three-layer neural network. The results demonstrate that an ANN trained with small dataset can satisfactorily identify P- and S-arrivals with a success of 84% and 60% respectively and could be applied to automatic analysis of multicomponent seismic data.

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/content/papers/10.3997/2214-4609.201409352
1995-05-29
2020-09-29
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201409352
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