| dc.contributor.author | Ali, W | en_US |
| dc.contributor.author | Mondragon, RJ | en_US |
| dc.contributor.author | Alavi, F | en_US |
| dc.date.accessioned | 2016-06-09T12:20:30Z | |
| dc.date.submitted | 2016-06-06T11:49:42.353Z | |
| dc.identifier.uri | http://qmro.qmul.ac.uk/xmlui/handle/123456789/12773 | |
| dc.description | 8 Pages, 5 figures, To be appeared in IEE Electronics Letter Journal | |
| dc.description | 8 Pages, 5 figures, To be appeared in IEE Electronics Letter Journal | en_US |
| dc.description | 8 Pages, 5 figures, To be appeared in IEE Electronics Letter Journal | en_US |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.subject | cs.NE | en_US |
| dc.subject | cs.NE | en_US |
| dc.subject | cs.CV | en_US |
| dc.subject | C.2; I.5 | en_US |
| dc.title | Extraction of topological features from communication network topological patterns using self-organizing feature maps | en_US |
| dc.type | Article | |
| dc.rights.holder | © The Author(s) 2016 | |
| pubs.author-url | http://arxiv.org/abs/cs/0404042v2 | en_US |
| pubs.notes | Not known | en_US |
