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Performance of the Neural network controlled ATM switch

  • V. M. Skulic
  • Z. R. Petrovic
Chapter
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT)

Abstract

In this paper a new N×N space division ATM switch architecture based on banyan and neural network is presented. The switching function is performed by extended banyan network and the neural network controller is introduced to allow the recirculation of the misrouted cells. The paper analyses the switching performances, especially cell loss probability, and shows the advantages of the proposed switch.

Keywords

Banyan HOL blocking recirculation neural network 

References

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Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • V. M. Skulic
    • 1
  • Z. R. Petrovic
    • 1
  1. 1.Faculty of Electrical EngineeringUniversity of BelgradeBelgradeYugoslavia

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