Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction

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@Article{Yang:2013:academy,

• author = "Bin Yang and Mingyan Jiang and Yuehui Chen and Qingfang Meng and Ajith Abraham",
• title = "Ensemble of Flexible Neural Tree and Ordinary Differential Equations for Small-time Scale Network Traffic Prediction",
• journal = "Journal of Computers",
• publisher = "ACADEMY PUBLISHER",
• year = "2013",
• volume = "8",
• number = "12",
• pages = "3039--3046",
• month = dec,
• keywords = "genetic algorithms, genetic programming, hybrid evolutionary method, small-time scale network traffic, the additive tree models, ordinary differential equations, ensemble learning",
• ISSN = "1796-203X",
• bibsource = "OAI-PMH server at doaj.org",
• identifier = "1796-203X; 10.4304/jcp.8.12.3039-3046",
• language = "English",
• oai = "oai:doaj.org/article:3a06be9c4660483dbaca0959705a4a18",
• URL = "http://ojs.academypublisher.com/index.php/jcp/article/view/10007",
• DOI = "doi:10.4304/jcp.8.12.3039-3046",
• abstract = "Accurate models play important roles in capturing the salient characteristics of the network traffic, analysing and simulating for the network dynamic, and improving the predictive ability for system dynamics. In this study, the ensemble of the flexible neural tree (FNT) and system models expressed by the ordinary differential equations (ODEs) is proposed to further improve the accuracy of time series forecasting. Firstly, the additive tree model is introduced to represent ~more precisely ODEs for the network dynamics. Secondly, the structures and parameters of FNT and the additive tree model are optimised based on the Genetic Programming (GP) and the Particle Swarm Optimisation algorithm (PSO). Finally, the expected level of performance is verified by using the proposed method, which provides a reliable forecast model for small-time scale network traffic. Experimental results reveal that the proposed method is able to estimate the small-time scale network traffic measurement data with decent accuracy.",

}

Genetic Programming entries for Bin Yang Mingyan Jiang Yuehui Chen Qingfang Meng Ajith Abraham

Citations