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| HAL : hal-00446594, version 1 |
| Fiche détaillée |  Récupérer au format |
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| European conference on artificial neural networks,, Bruges : Belgique (2010) |
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| Self Organizing Star (SOS) for health monitoring |
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| Etienne Côme 1Marie Cottrell 1 |
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| (2010) |
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| Self Organizing Maps (SOM) have been successfully applied in a lot of real world hard problems since their apparition. In this paper we present new topologies for SOM based on a planar graph. The design of a specific graph to encode prior information on the dataset topology is the central question addressed in this paper. In this context, star-shaped graphs are advocated for health monitoring applications, leading to a new kind of SOM that we denote by Self Organizing Star (SOS). Experiments using aircraft engine measurements show that SOS lead to meaningful and natural dataset representation. |
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| 1 : | Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM) |
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Université Paris I - Panthéon-Sorbonne |
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| 2 : | MachineLearning Group - DICE (DICE) |
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Université Catholique de Louvain (UCL) - Belgique |
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| 3 : | SNECMA Villaroche [Moissy-Cramayel] |
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Safran Group |
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| Domaine | : | Informatique/Vision par ordinateur et reconnaissance de formes Mathématiques/Statistiques Statistiques/Théorie |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00446594, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00446594 | |
| oai:hal.archives-ouvertes.fr:hal-00446594 | |
| Contributeur : Etienne Côme | |
| Soumis le : Mercredi 13 Janvier 2010, 11:28:40 | |
| Dernière modification le : Lundi 23 Janvier 2012, 17:03:42 | |
