Traffic trends analysis using neural networks

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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    308 Downloads (Pure)

    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 languageEnglish
    Title of host publicationProcs of the Int Workshop on Applications of Neural Networks to Telecommunications
    Pages157-164
    Publication statusPublished - 1997

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