Research Article | OPEN ACCESS
Telephone Traffic Prediction Based on Modified Forecasting Model
1Jiangbao Li, 1Zhenhong Jia, 1Xizhong Qin, 2Lei Sheng and 2Li Chen
1School of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
2Subsidiary Company of China Mobile in Xinjiang, Urumqi 830063, China
Research Journal of Applied Sciences, Engineering and Technology 2013 17:3156-3160
Received: January 12, 2013 | Accepted: March 02, 2013 | Published: September 20, 2013
Abstract
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.
Keywords:
Busy telephone traffic prediction, least squares support vector machines, wavelet transformation,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
