On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Pattern recognition using neural networks: theory and algorithms for engineers and scientists
Pattern recognition using neural networks: theory and algorithms for engineers and scientists
A predictive self-tuning fuzzy-logic feedback rate controller
IEEE/ACM Transactions on Networking (TON)
Artificial Neural Networks - Forecasting Time Series
Artificial Neural Networks - Forecasting Time Series
Time Series Models for Internet Data Traffic
LCN '99 Proceedings of the 24th Annual IEEE Conference on Local Computer Networks
Virtual private network bandwidth management with traffic prediction
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Neural Network Based Predictive Mechanism for Available Bandwidth
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Forecasting network traffic using FARIMA models with heavy tailed innovations
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
A growing and pruning method for radial basis function networks
IEEE Transactions on Neural Networks
Equalization of 16 QAM signals with reduced bilinear recurrent neural network
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Multiresolution learning paradigm and signal prediction
IEEE Transactions on Signal Processing
Multiresolution FIR neural-network-based learning algorithm applied to network traffic prediction
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Improving signal prediction performance of neural networks through multiresolution learning approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy adaptive predictive flow control of ATM network traffic
IEEE Transactions on Fuzzy Systems
Complex-bilinear recurrent neural network for equalization of a digital satellite channel
IEEE Transactions on Neural Networks
An adaptively trained neural network
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Information Sciences: an International Journal
A class of hybrid morphological perceptrons with application in time series forecasting
Knowledge-Based Systems
Application traffic classification at the early stage by characterizing application rounds
Information Sciences: an International Journal
Computers and Industrial Engineering
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The BiLinear Recurrent Neural Network (BLRNN) based on the bilinear polynomial has been successfully applied to several nonlinear time series prediction problems. In order to obtain faster convergence in training the BLRNN, two procedures are applied to the network: (i) a structure simplification procedure whereby the multiplications for bilinear components in the BLRNN are reduced and (ii) a pruning procedure entailing application of a genetic algorithm. A structurally optimized BLRNN is thereby obtained. The computational complexity of the optimized BLRNN is reduced by about half in terms of the number of weights while preserving its generalization ability. Experiments on application of the structurally optimized BLRNN to a network traffic prediction problem are conducted on a real-world Ethernet network traffic data set. Results show that the optimized BLRNN-based prediction scheme can reduce the training time by roughly half when compared with the original BLRNN while preserving the prediction accuracy of the latter in terms of Normalized Mean Square Error (NMSE).