Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines

@inproceedings{Curilem2014FeatureAF,
  title={Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines},
  author={Millaray Curilem and Fernando Huenup{\'a}n and C{\'e}sar San-Mart{\'i}n and Gustavo Fuentealba and Carlos Cardona and Luis Franco and Gonzalo Acu{\~n}a and Max Chac{\'o}n},
  booktitle={MICAI},
  year={2014}
}
This paper shows a preliminary study to perform a pattern recognition process for seismic events of the Llaima volcano, one of the most active volcanoes in South America. 1622 classified events registered from the Llaima volcano were considered in this study, taken from 2009 to 2011. The events were divided in four classes: TREMOR (TR), LONG-PERIOD (LP… CONTINUE READING