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La prévision de défaillance des PME : une application neuronale sur données qualitatives

Author

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  • Muriel Perez

    (COACTIS - COnception de l'ACTIon en Situation - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne)

Abstract

Les applications neuronales au domaine de la prévision de défaillance remontent au début des années 90. La plupart reposent sur l'utilisation d'un type particulier de réseaux de neurones artificiels, le Perceptron Multicouches. Cependant une autre catégorie de réseaux existe, capable de traiter des problèmes de classification. Nous avons donc construit une nouvelle expérimentation reposant sur les cartes auto-organisatrices de Kohonen. L'objectif premier de notre travail est d'étudier l'apport des données qualitatives dans le cadre de l'utilisation de cet outil au domaine de la prévision de défaillance des PME.

Suggested Citation

  • Muriel Perez, 2003. "La prévision de défaillance des PME : une application neuronale sur données qualitatives," Post-Print halshs-00522136, HAL.
    • Handle: RePEc:hal:journl:halshs-00522136
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00522136
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    References listed on IDEAS

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    1. Patrice Gaubert & Marie Cottrell, 1999. "Neural Network And Segmented Labour Market," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00134146, HAL.
    2. Patrice Gaubert & Marie Cottrell, 1999. "Neural Network And Segmented Labour Market," Post-Print hal-00134146, HAL.
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