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

2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/32083Different 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 JournalNeural and Evolutionary ComputingComputer Vision and Pattern RecognitionC.2; I.5Extraction of topological features from communication network topological patterns using self-organizing feature mapstext