How to help seismic analysts to verify the French seismic bulletin?

David Mercier, Pierre Gaillard, Michael Aupetit, Carole Maillard, Robert Quach, Jean Denis Muller

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, classifiers based on Multi-Layer Perceptrons and Support Vector Machines are used in order to classify seismic events that occurred in metropolitan France. The results are exploited in the software RAMSES to help the seismic analysts to conduct efficiently the revision of the weekly French seismic bulletin. With 96.5% of good classification, and less than 7% of the events emphasized for verification, RAMSES strikingly improves the speed of the revision.

Original languageEnglish
Pages (from-to)797-806
Number of pages10
JournalEngineering Applications of Artificial Intelligence
Volume19
Issue number7
DOIs
Publication statusPublished - Oct 2006
Externally publishedYes

Fingerprint

Multilayer neural networks
Support vector machines
Classifiers

Keywords

  • Neural networks
  • Seismic event classification
  • Support vector machines

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

Cite this

How to help seismic analysts to verify the French seismic bulletin? / Mercier, David; Gaillard, Pierre; Aupetit, Michael; Maillard, Carole; Quach, Robert; Muller, Jean Denis.

In: Engineering Applications of Artificial Intelligence, Vol. 19, No. 7, 10.2006, p. 797-806.

Research output: Contribution to journalArticle

Mercier, David ; Gaillard, Pierre ; Aupetit, Michael ; Maillard, Carole ; Quach, Robert ; Muller, Jean Denis. / How to help seismic analysts to verify the French seismic bulletin?. In: Engineering Applications of Artificial Intelligence. 2006 ; Vol. 19, No. 7. pp. 797-806.
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