Traffic trends analysis using neural networks

T. Edwards; D. Tansley; R. Frank; N. Davey

Traffic trends analysis using neural networks

T. Edwards, D. Tansley, R. Frank, N. Davey

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

Original language	English
Title of host publication	Procs of the Int Workshop on Applications of Neural Networks to Telecommunications
Pages	157-164
Publication status	Published - 1997

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title = "Traffic trends analysis using neural networks",

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.",

author = "T. Edwards and D. Tansley and R. Frank and N. Davey",

year = "1997",

language = "English",

pages = "157--164",

booktitle = "Procs of the Int Workshop on Applications of Neural Networks to Telecommunications",

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AU - Edwards, T.

AU - Tansley, D.

AU - Frank, R.

AU - Davey, N.

PY - 1997

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N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 157

EP - 164

BT - Procs of the Int Workshop on Applications of Neural Networks to Telecommunications

ER -

Traffic trends analysis using neural networks

Abstract

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