TY - JOUR AU - Rutka, G. AU - Lauks, G. PY - 2007/07/22 Y2 - 2024/03/29 TI - Study on Internet Traffic Prediction Models JF - Elektronika ir Elektrotechnika JA - ELEKTRON ELEKTROTECH VL - 78 IS - 6 SE - DO - UR - https://eejournal.ktu.lt/index.php/elt/article/view/10814 SP - 47-50 AB - <p>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)</p> ER -