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 language | English |
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Pages (from-to) | 797-806 |
Number of pages | 10 |
Journal | Engineering Applications of Artificial Intelligence |
Volume | 19 |
Issue number | 7 |
DOIs | |
Publication status | Published - Oct 2006 |
Externally published | Yes |
Keywords
- Neural networks
- Seismic event classification
- Support vector machines