论文信息 - 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

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.

W. Ali | Raul J. Mondragón | F. Alavi

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