Prediction Accuracy of Neural Network Models

G. Rutka

Abstract


A view of models used for Internet traffic prediction using neural network applications is presented. We look at the problem of traffic prediction in the presence of self-similarity. Our experiments inspect prediction error of linear, multilayer perceptron and radial basis function networks. Ill. 5, bibl. 12 (in English; summaries in English, Russian and Lithuanian).


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Print ISSN: 1392-1215
Online ISSN: 2029-5731