Study on Internet Traffic Prediction Models
A view of models used for Internet data traffic prediction using neural network applications is presented. We look at the problem of traffic prediction in the presence of self-similarity. Self-similarity is an important characteristic of traffic in high-speed networks that cannot be captured by traditional traffic models. Our experiments inspect performance and prediction error using feed forward neural networks. Ill. 4, bibl. 12 (in English; summaries in English, Russian and Lithuanian)
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