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2013 (Vol. 6, Issue: 17)
Article Information:

Telephone Traffic Prediction Based on Modified Forecasting Model

Jiangbao Li, Zhenhong Jia, Xizhong Qin, Lei Sheng and Li Chen
Corresponding Author:  Jiangbao Li 

Key words:  Busy telephone traffic prediction, least squares support vector machines, wavelet transformation, , , ,
Vol. 6 , (17): 3156-3160
Submitted Accepted Published
January 12, 2013 March 02, 2013 September 20, 2013

This study presents a busy telephone traffic prediction model that combines wavelet transformation and least squares support vector machine. Firstly, decompose preprocessed telephone traffic data with Mallat algorithm and get low frequency component and high frequency component. Secondly, reconfigure each component and use LS_SVM model to predict each reconfigure one. Then the traffic can be achieved. The results of experiments have testified higher prediction accuracy and stability of this combined traffic prediction model.
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  Cite this Reference:
Jiangbao Li, Zhenhong Jia, Xizhong Qin, Lei Sheng and Li Chen, 2013. Telephone Traffic Prediction Based on Modified Forecasting Model.  Research Journal of Applied Sciences, Engineering and Technology, 6(17): 3156-3160.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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