Extraction of topological features from communication network topological patterns using self-organizing feature maps
<|reference_start|>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.<|reference_end|>
@article{ali2004extraction,
    title={Extraction of topological features from communication network
  topological patterns using self-organizing feature maps},
    author={W. Ali, R.J. Mondragon and F. Alavi},
    journal={arXiv preprint arXiv:cs/0404042},
    year={2004},
    archivePrefix={arXiv},
    eprint={cs/0404042},
    primaryClass={cs.NE cs.CV}
}