dc.contributor.author | Sekercioglu, Y. Ahmet | en |
dc.contributor.author | Pitsillides, Andreas | en |
dc.contributor.author | Vasilakos, Athanasios V. | en |
dc.creator | Sekercioglu, Y. Ahmet | en |
dc.creator | Pitsillides, Andreas | en |
dc.creator | Vasilakos, Athanasios V. | en |
dc.date.accessioned | 2019-11-13T10:42:15Z | |
dc.date.available | 2019-11-13T10:42:15Z | |
dc.date.issued | 1999 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54967 | |
dc.description.abstract | Today, a number of researchers are looking at alternative non-analytical control system design and modeling techniques that have the ability to devise effective, robust ATM network management schemes. Such schemes employ artificial neural networks, fuzzy systems and design methods based on evolutionary computation. A summary is given on the current state of ATM network management research employing these techniques. The salient features of the methods employed are reviewed. | en |
dc.source | Proceedings of SPIE - The International Society for Optical Engineering | en |
dc.source | Proceedings of the 1999 Applications and Sciences of Neural Networks, Fuzzy Systems, and Evolutionary Computation II | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0033319368&partnerID=40&md5=37b0f31312bf3a4c3d0a9ced9189ba6b | |
dc.subject | Artificial intelligence | en |
dc.subject | Neural networks | en |
dc.subject | Genetic algorithms | en |
dc.subject | Parameter estimation | en |
dc.subject | Control system synthesis | en |
dc.subject | Computational complexity | en |
dc.subject | Fuzzy sets | en |
dc.subject | Asynchronous transfer mode | en |
dc.subject | Computational intelligence | en |
dc.subject | Evolutionary computation | en |
dc.title | Computational intelligence in management of ATM networks: a survey of current state of research | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.volume | 3812 | |
dc.description.startingpage | 46 | |
dc.description.endingpage | 54 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: SPIE | en |
dc.description.notes | Conference code: 56130 | en |
dc.description.notes | Cited By :1</p> | en |
dc.contributor.orcid | Pitsillides, Andreas [0000-0001-5072-2851] | |
dc.gnosis.orcid | 0000-0001-5072-2851 | |