Traffic trends analysis using neural networks

dc.contributor.author	Edwards, T.
dc.contributor.author	Tansley, D.
dc.contributor.author	Frank, R.
dc.contributor.author	Davey, N.
dc.date.accessioned	2011-11-28T16:01:29Z
dc.date.available	2011-11-28T16:01:29Z
dc.date.issued	1997
dc.identifier.citation	Edwards , T , Tansley , D , Frank , R & Davey , N 1997 , Traffic trends analysis using neural networks . in Procs of the Int Workshop on Applications of Neural Networks to Telecommunications . pp. 157-164 .
dc.identifier.other	PURE: 462655
dc.identifier.other	PURE UUID: f7ec7370-f0b0-4475-95cd-30656d362c5d
dc.identifier.other	dspace: 2299/3988
dc.identifier.uri	http://hdl.handle.net/2299/7171
dc.description.abstract	An application of time series prediction, to traffic forecasting in ATM networks, using neural nets is described. One key issue, the number of data points needed to be included in the input representation to the net is discussed from a theoretical point of view, and the results are applied in the model under discussion. Experimental results are discussed and analysed.	en
dc.language.iso	eng
dc.relation.ispartof	Procs of the Int Workshop on Applications of Neural Networks to Telecommunications
dc.title	Traffic trends analysis using neural networks	en
dc.contributor.institution	School of Computer Science
dc.contributor.institution	Science & Technology Research Institute
rioxxterms.version	AM
rioxxterms.type	Other
herts.preservation.rarelyaccessed	true