Neural analysis of seismic data: applications to the monitoring of Mt. Vesuvius

The computing techniques currently available for the seismic monitoring allow advanced analysis. However, the correct event classification remains a critical aspect for the reliability of real time automatic analysis. Among the existing methods, neural networks may be considered efficient tools for...

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Vydané v:	Annals of geophysics Ročník 56; číslo 4; s. S0446
Hlavní autori:	Esposito, Antonietta M., D’Auria, Luca, Giudicepietro, Flora, Caputo, Teresa, Martini, Marcello
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Istituto Nazionale di Geofisica e Vulcanologia (INGV) 01.01.2013
Predmet:	Mt. Vesuvius Neural networks Seismic signals Self-Organizing Map (SOM) Unsupervised clustering
ISSN:	1593-5213, 2037-416X
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