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

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

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Neural and Evolutionary Computing, Computer Vision and Pattern Recognition, C.2; I.5

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http://salesiana.dossiersoluciones.com/handle/123456789/32083

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cs/0404042
 http://arxiv.org/abs/cs/0404042

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arXiv