Pattern recognition applied to seismic signals of Llaima volcano (Chile): An evaluation of station-dependent classifiers
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- 作者：Millaray Curilema ; millaray.curilem@ufrontera.cl" class="auth_mail" title="E-mail the corresponding author ; Fernando Huenupana ; fernando.huenupan@ufrontera.cl" class="auth_mail" title="E-mail the corresponding author ; Daniel Beltrá ; na ; Cesar San Martina ; cesar.sanmartin@ufrontera.cl" class="auth_mail" title="E-mail the corresponding author ; Gustavo Fuentealbab ; gustavo.fuentealba@ufrontera.cl" class="auth_mail" title="E-mail the corresponding author ; Luis Francoc ; luis.franco@sernageomin.cl" class="auth_mail" title="E-mail the corresponding author ; Carlos Cardonac ; carlos.cardona@sernageomin.cl" class="auth_mail" title="E-mail the corresponding author ; Gonzalo Acuñ ; ad ; gonzalo.acuna@usach.cl" class="auth_mail" title="E-mail the corresponding author ; Max Chacó ; nd ; max.chacon@usach.cl" class="auth_mail" title="E-mail the corresponding author ; M. Salman Khane ; salmankhan@uetpeshawar.edu.pk" class="auth_mail" title="E-mail the corresponding author ; Nestor Becerra Yomaf ; nbecerra@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Seismic discrimination ; Volcano monitoring ; Pattern recognition ; Station-dependent classifiers ; Support vector machines
- 刊名：Journal of Volcanology and Geothermal Research
- 出版年：2016
- 出版时间：1 April 2016
- 年：2016
- 卷：315
- 期：Complete
- 页码：15-27
- 全文大小：2838 K
文摘
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We design classifiers to discriminate between three volcanic seismic events.
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We propose two fusion strategies to integrate several seismic stations information.
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Two station-dependent classifying structures are tested.
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Their classifying performances are compared with the station-independent strategy.
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The results show improvements when incorporating multi-stations information.