Identification and Prediction of Internet Traffic Using Artificial Neural Networks

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Journal of Intelligent Learning Systems and Applications

ISSN Print: 2150-8402
ISSN Online: 2150-8410
www.scirp.org/journal/jilsa
E-mail: jilsa@scirp.org

Google-based Impact Factor: 2.33
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"Identification and Prediction of Internet Traffic Using Artificial Neural Networks"
written by Samira Chabaa, Abdelouhab Zeroual, Jilali Antari,
published by Journal of Intelligent Learning Systems and Applications, Vol.2 No.3, 2010

has been cited by the following article(s):

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[43]	Classification of teletraffic service devices by κ-NN, ANFIS and ANN classificators 2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2016 DOI:10.1109/BlackSeaCom.2016.7901585

[44]	Estimating the energy production of the wind turbine using artificial neural network Neural Computing and Applications, 2016 DOI:10.1007/s00521-015-1921-0

[45]	Modeling of surface roughness in turning process by using Artificial Neural Networks 2016 3rd International Conference on Logistics Operations Management (GOL), 2016 DOI:10.1109/GOL.2016.7731681

[46]	Predicting future traffic using Hidden Markov Models 2016 IEEE 24th International Conference on Network Protocols (ICNP), 2016 DOI:10.1109/ICNP.2016.7785328

[47]	NETWORK TRAFFIC FORCASTING IN INFORMATION-TELECOMMUNICATION SYSTEM OF PRYDNIPROVSK RAILWAYS BASED ON NEURO-FUZZY NETWORK Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, 2016 DOI:10.15802/stp2016/90485

[48]	NETWORK TRAFFIC FORCASTING IN INFORMATION-TELECOMMUNICATION SYSTEM OF PRYDNIPROVSK RAILWAYS BASED ON NEURO-FUZZY NETWORK Science and Transport Progress , 2016 DOI:10.15802/stp2016/90485

[49]	NETWORK TRAFFIC FORCASTING IN INFORMATION-TELECOMMUNICATION SYSTEM OF PRYDNIPROVSK RAILWAYS BASED ON NEURO-FUZZY NETWORK Science and Transport Progress , 2016 DOI:10.15802/stp2016/90485

[50]	A genetic-based backpropagation neural network for forecasting in time-series data 2015 International Conference on Science in Information Technology (ICSITech), 2015 DOI:10.1109/ICSITech.2015.7407796

[51]	Vision based data extraction of vehicles in traffic 2014 International Conference on Signal Processing and Integrated Networks (SPIN), 2014 DOI:10.1109/SPIN.2014.6776948

[52]	Future Clients' Requests Estimation for Dynamic Resource Allocation in Cloud Data Center Using CGPANN 2013 12th International Conference on Machine Learning and Applications, 2013 DOI:10.1109/ICMLA.2013.189

[53]	An autoregressive neural network for recognition of eye commands in an EEG-controlled wheelchair 2013 International Conference on Advanced Technologies for Communications (ATC 2013), 2013 DOI:10.1109/ATC.2013.6698132

[54]	A Network Traffic Prediction Model Based on Quantum Inspired PSO and Neural Network 2013 Sixth International Symposium on Computational Intelligence and Design, 2013 DOI:10.1109/ISCID.2013.168

[55]	Research on Ability Evaluation Model of Compound Talents of Information Technology Based on Artificial Neural Network 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics, 2013 DOI:10.1109/IHMSC.2013.111

[56]	Improving network response times using social information Social Network Analysis and Mining, 2013 DOI:10.1007/s13278-012-0065-9

[57]	Mean Threshold and ARNN Algorithms for Identification of Eye Commands in an EEG-Controlled Wheelchair Engineering, 2013 DOI:10.4236/eng.2013.510B059

[58]	Encyclopedia of Operations Research and Management Science 2013 DOI:10.1007/978-1-4419-1153-7_668

[59]	Channel quality prediction using neural networks 2012 10th International Symposium on Electronics and Telecommunications, 2012 DOI:10.1109/ISETC.2012.6408130

[60]	A Comparative Study of Nonlinear Time-Varying Process Modeling Techniques: Application to Chemical Reactor Journal of Intelligent Learning Systems and Applications, 2012 DOI:10.4236/jilsa.2012.41002

[61]	Neural Modeling of Multivariable Nonlinear Stochastic System. Variable Learning Rate Case Intelligent Control and Automation, 2011 DOI:10.4236/ica.2011.23020

[62]	Modeling non linear real processes with ANN techniques 2011 International Conference on Multimedia Computing and Systems, 2011 DOI:10.1109/ICMCS.2011.5945665

[63]	Intrusion detection system using Optimum-Path Forest 2011 IEEE 36th Conference on Local Computer Networks, 2011 DOI:10.1109/LCN.2011.6115182

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