| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 381463 | Engineering Applications of Artificial Intelligence | 2006 | 10 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
David Mercier, Pierre Gaillard, Michaël Aupetit, Carole Maillard, Robert Quach, Jean-Denis Muller,