Clustering of Experimental Seismo-Acoustic Events Using Self-Organizing Map (SOM)

Clustering of Experimental Seismo-Acoustic Events Using Self-Organizing Map (SOM)

The analogue experiments that produce seismo-acoustic events are relevant for understanding the degassing processes of a volcanic system. The aim of this work is to design an unsupervised neural network for clustering experimental seismo-acoustic events in order to investigate the possible cause-eff...

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Bibliographic Details
Main Authors: Flora Giudicepietro, Antonietta M. Esposito, Laura Spina, Andrea Cannata, Daniele Morgavi, Lukas Layer, Giovanni Macedonio
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Earth Science
Subjects:
self-organizing map
neural network
seismo-acoustic signals
experimental volcanology
clustering method
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2020.581742/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2020.581742/full

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