Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Revista Ingenierías Universidad de Medellín
Print version ISSN 1692-3324On-line version ISSN 2248-4094
Abstract
HURTADO, Jorge E. and BEDOYA R., Daniel. The relationships of Mercalli intensity to instrumental information as a pattern classification task. Rev. ing. univ. Medellin [online]. 2008, vol.7, n.13, pp.71-84. ISSN 1692-3324.
Despite the progress occurred in seismic instrumentation, the assessment of seismic vulnerability and damage qualitative indexes, such as that provided by Mercalli intensity is highly valuable and useful for practical purposes. In order to link the qualitative measures of earthquake action and its effects, statistical regression is commonly applied. in the paper, a different approach is adopted. It consisten in regarding the Mercalli intensity as a class rather that a numerical value. A modern statistical classification tool known as Support Vector Machine is used for classifying the la instrumental information in order to assess the corresponding Mercalli intensity. It is shown that the method gives satisfactory results with regardto the high uncertainties linked to such a qualitative seismic damage measure.
Keywords : Mercalli Intensity; earthquake damage; statistical learning; support vector machines; pattern recognition.