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Communication Dans Un Congrès Année : 1993

AIP approaches to diagnosis in network traffic management

Résumé

This paper presents applications of artificial intelligence techniques to real-time circuit-switched network management. We focus on the problem of diagnosis making in order to detect and identify abnormal situations in the network. Two different approaches respectively based on expert system and neural trees are proposed. The methodologies underlying the two solutions are presented as well as the prototypes that have been developed. Finally, case studies leading to a comparison of both approaches are described.
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Dates et versions

hal-03144184 , version 1 (17-02-2021)

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  • HAL Id : hal-03144184 , version 1

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Prosper Chemouil, Daniel Stern, Elisabeth Didelet, Bernard Dubuisson. AIP approaches to diagnosis in network traffic management. Quardet '93, Jun 1993, Barcelone, Spain. ⟨hal-03144184⟩
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