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- Title
Detecting dynamical regimes by Self-Organizing Map (SOM) analysis: an example from the March 2006 phreatic eruption at Raoul Island, New Zealand Kermadec Arc.
- Authors
CARNIEL, R.; BARBUI, L.; JOLLY, A. D.
- Abstract
We propose a technique to improve the analysis of volcanic seismic data and highlight possible dynamical or precursory regimes, by using an efficient class of artificial neural network, the Self-Organizing Maps (SOMs). SOMs allow an automatic pattern recognition, as independent as possible from any a priori knowledge. In the training phase, volcanic tremor spectra are randomly presented to the network in a competitive iterative process. Spectra are then projected, ordered by time, onto the map. Every spectrum will take up a node on the map and their time evolution on the map can highlight the existence of different regimes and the transitions between them. We show a practical application on data recorded at Raoul Island during the period around the March 2006 phreatic eruption which reveals both a diurnal anthropogenic signal and the post-eruption system excitation.
- Subjects
RAOUL Island (Kermadec Islands); SELF-organizing maps; COMPUTERS in seismology; WATER table; ARTIFICIAL neural networks; PATTERN perception
- Publication
Bollettino di Geofisica Teorica ed Applicata, 2013, Vol 54, Issue 1, p39
- ISSN
0006-6729
- Publication type
Article
- DOI
10.4430/bgta0077