Neuro-fuzzy control in ATM networks

Douligeris, C; Develekos, G

dc.contributor.author	Douligeris, C	en
dc.contributor.author	Develekos, G	en
dc.date.accessioned	2014-03-01T01:46:04Z
dc.date.available	2014-03-01T01:46:04Z
dc.date.issued	1997	en
dc.identifier.issn	01636804	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24834
dc.title	Neuro-fuzzy control in ATM networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/35.592110	en
heal.identifier.secondary	http://dx.doi.org/10.1109/35.592110	en
heal.publicationDate	1997	en
heal.abstract	The authors present an extensive review of fuzzy-logic-based and artificial-neural-network-based traffic control mechanisms that have been proposed in the field of Asynchronous Transfer Mode networking. Following a qualitative review of the models used, system architectures suggested and results obtained, future trends and directions are briefly discussed.	en
heal.journalName	IEEE Communications Magazine	en
dc.identifier.doi	10.1109/35.592110	en
dc.identifier.volume	35	en
dc.identifier.issue	5	en
dc.identifier.spage	154	en
dc.identifier.epage	162	en