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

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

2004-04-21

arxiv.org/abs/cs/0404042v2

Computer Science

Neural and Evolutionary Computing

8 Pages, 5 figures, To be appeared in IEE Electronics Letter Journal

Scientific paper

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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