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

W. Ali; R. J. Mondragon; F. Alavi

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

W. Ali·R. J. Mondragon·F. Alavi

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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.

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W. Ali, R. J. Mondragon, F. Alavi. 2004-04-22. Extraction of topological features from communication network topological patterns using self-organizing feature maps. https://arxiv.org/abs/cs/0404042

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