… Here, the traffic conditions refer to observations over a traffic … on traffic volume and traffic
speed predictions, although our model could be applied to predictions of other numerical traffic …

… In this paper, we present network anomaly detection with the use of ARFIMA model. We …
relationships between predicted and original network traffic to determine if the examined trace is …

… Here, the modelling length of GM(1,1) is 6, which we find is the best for prediction of 5-minute
averaging network traffic. The chaos model is the zero-rank local-region model, the same …

… Along with the comparison, a novel architecture using Convolution Neural Network … network
traffic prediction, where the use of historical data is collected over the wireless mesh network…

… Network traffic prediction is substantial for network optimization and resource management.
However, designing an efficient predictive model considering different traffic … of traffic data (…

… to derive an appropriate prediction model for network traffic and verify its … of network packets
but also finding a prediction method for the number of packets. We use time series prediction …

… Sadek applied a multilayer perceptron (MLP) and a fuzzy neural network (FNN) to high-speed
network traffic prediction; the results indicate that NN performs better than the …

… performance of network traffic prediction model, a novel network traffic prediction model
is proposed in this paper which embedding dimension and time delay of network traffic time …

… Internet network traffic prediction is crucial to network providers and computer network
management in general [1]. The Internet service providers make use of accurate and timely traffic …

… does improve prediction accuracy [12-14]. This paper proposes a neural network based on
improved Elman network traffic prediction model, improved Elman neural network model, the …