This paper presents the development of an artificial neural network (ANN) model based on
the multi-layer perceptron (MLP) for analyzing internet traffic data over IP networks. We …

This paper compares four different artificial neural network approaches for computer network
traffic forecast, such as: 1) multilayer perceptron (MLP) using the backpropagation as …

This paper presents a view of models used for Internet data (traffic) prediction using neural
network applications. We look at the problem of traffic prediction in the presence of self …

This article presents three methods to forecast accurately the amount of traffic in TCP/IP
based networks: a novel neural network ensemble approach and two important adapted …

The network traffic prediction plays a fundamental role in network design, management,
control and optimization. The self-similar and non-linear nature of traffic makes accurate …

As the network sizes continue to increase, network traffic grows exponentially. In this
situation, how to accurately predict network traffic to serve customers better has become one …

Analysis and prediction of network traffic has applications in wide comprehensive set of
areas and has newly attracted significant number of studies. Different kinds of experiments …

With the advancement of technology and communication system, use of internet is giving at
a tremendous role. This causes an exponential growth of data and traffic over the internet …

Multimedia services and especially digital video is expected to be the major traffic
component transmitted over communication networks [such as internet protocol (IP)-based …

Internet traffic prediction is an important task for many applications, such as adaptive
applications, congestion control, admission control, anomaly detection and bandwidth …