Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/7274
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dc.contributor.authorallEsposito, A. M.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.editorallApolloni, B.; Department of Computer Science University of Milano, Italyen
dc.contributor.editorallBassis, S.; Department of Computer Science University of Milano, Italyen
dc.contributor.editorallEsposito, A.; Dep. of Psychology, Second University of Naples, Caserta, Italyen
dc.contributor.editorallMorabito, C.F.; Università Mediterranea di Reggio Calabriaen
dc.date.accessioned2011-12-28T13:47:32Zen
dc.date.available2011-12-28T13:47:32Zen
dc.date.issued2011-06-03en
dc.identifier.urihttp://hdl.handle.net/2122/7274en
dc.description.abstractThe last effusive eruption on February 27, 2007 at Stromboli volcano was characterized by the occurrence of a particular typology of seismic events named “hybrids”. During March about 4000 of these signals were recorded, and three main swarms happened: the first one on days 6-8, with more than 1200 events; the second one on day 20, with more than 400 events; and the third one on day 22, with about 600 events. The study of these events and specifically their location is the main purpose of this work because it not only characterizes a particular aspect of the 2007 effusive eruption but at the same time can improve the understanding of the eruptive processes of the volcano. Thus, in order to locate them it was first necessary to group the signals according to their waveform similarity and then apply relative location techniques on individual families. To perform the clustering an unsupervised SOM neural network was used. This technique is capable of working without any “a-priori” information about data distribution and structure. Its results have revealed differences in the families of events recorded during and between the swarms, underlying from a volcanological point different locations or source mechanisms of the involved structures. Moreover, they have shown to be consistent compared to those obtained by applying the Hierarchical Clustering technique. However, in contrast to the latter, the SOM clustering does not critically depend on its parameters and allows for an easier result visualization and interpretation.en
dc.language.isoEnglishen
dc.publisher.nameIOS Pressen
dc.relation.ispartofWIRN 2011 - 21th Italian Workshop on Neural Netsen
dc.subjectHybrid events, clustering, SOM, Hierarchical Clustering, neuralen
dc.titleClustering of Hybrid Events at Stromboli Volcano (Italy)en
dc.typeConference paperen
dc.description.statusPublisheden
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networksen
dc.description.ConferenceLocationVietri sul Mare, Salernoen
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dc.description.obiettivoSpecifico1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attiveen
dc.description.fulltextreserveden
dc.contributor.authorEsposito, A. M.en
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.editorApolloni, B.en
dc.contributor.editorBassis, S.en
dc.contributor.editorEsposito, A.en
dc.contributor.editordepartmentDepartment of Computer Science University of Milano, Italyen
dc.contributor.editordepartmentDepartment of Computer Science University of Milano, Italyen
dc.contributor.editordepartmentDep. of Psychology, Second University of Naples, Caserta, Italyen
dc.contributor.editordepartmentUniversità Mediterranea di Reggio Calabriaen
item.openairetypeConference paper-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia-
crisitem.author.orcid0000-0003-2192-3720-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent05. General-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
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