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

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    0404042v2.pdf (82.93Kb)
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    Abstract
    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.
    Authors
    Ali, W; Mondragon, RJ; Alavi, F
    URI
    http://qmro.qmul.ac.uk/xmlui/handle/123456789/12773
    Collections
    • Electronic Engineering and Computer Science [2315]
    Copyright statements
    © The Author(s) 2016
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