Neural Network Based Switching Models for VLSI Design of ATM Networks

Free registration required

Executive Summary

This paper presents a framework for designing neural network solutions using extensions of the competitive learning Artificial Neural Network(ANN) model for ATM networks in VLSI design. Unlike conventional LANs, ATM LANs utilize a mesh topology comprising a number of interconnected switching exchanges similar in principle to that used in conventional telephone networks. ATM switch has a defined number of ports and its function is to provide a high bit rate switched communications paths between ports. The complexity of switching can be reduced by introducing the ANN based massively parallel and distributed switching topology for VLSI. ANN based networks have properties that can be directly defined and controlled.

  • Format: PDF
  • Size: 338.9 KB