Prediction of network traffic based on neural-fuzzy analysis of changes in the volume of IP-packets

To detect and evaluate the possible anomalous in IP-packets the fuzzy forecasting methods of network traffic is considered. In the context of network traffic control system it is offered several fuzzy models allowing to approximate the network traffic and, thus, to obtain short-term forecasts of volumes of IP-packets.