Extraction of topological features from communication network topological patterns using self-organizing feature maps

نویسندگان

  • W. Ali
  • Raul J. Mondragón
  • F. Alavi
چکیده

Different classes of communication network topologies and their representation in the form of adjacency matrix and its eigenvalues are presented. A self-organizing feature map neural network is used to map different classes of communication network topological patterns. The neural network simulation results are reported.

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عنوان ژورنال:
  • CoRR

دوره cs.NE/0404042  شماره 

صفحات  -

تاریخ انتشار 2004