Predicting Packet Transmission Data Over IP Networks Using Adaptive Neuro-Fuzzy Inference Systems

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Executive Summary

The statistical modeling for predicting network traffic has now become a major tool used for network and is of significant interest in many domains: adaptive application, congestion and admission control, wireless, network management and network anomalies. To comprehend the properties of IP-network traffic and system conditions, many kinds of reports based on measured network traffic data have been reported by several researchers. The goal of the present contribution was to complement these previous researches by predicting network traffic data.

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