Prediction method for network traffic based on maximum correntropy criterion

China Communications

Volumn 10, Issue 1, 2013, Pages 134-145

  Qu, Hua ^a,b   Ma, Wentao ^a,b   Zhao, Jihong ^a,b   Wang, Tao ^a,b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b XI AN UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Elman neural network; MCC; MSE; Network traffic prediction

Indexed keywords

EID: 84876801502     PISSN: 16735447     EISSN: None     Source Type: Journal    
DOI: 10.1109/CC.2013.6457536     Document Type: Article

References (16)

1. XU Xiaodong, WU Qiong. Pre-sorted Dynamic Resource Allocation Algorithm Based on Resource Pooling[J]. China Communications, 2010, 7(1): 149-155.
2. GARROPPO R G, GIORDANO S, PAGANO M, et al. On Traffic Prediction for Resource Allocation: A Chebyshev Bound Based Allocation Acheme[J]. Computer Communications, 2008, 31(2): 3741-3751.
3. MIRAHMADI M, SHAMI A. Traffic Prediction Assisted Dynamic Bandwidth Assignment for Hybrid Optical Wireless Networks[J]. Computer Networks, 2012, 56(1): 244-259.
4. YANG Yue. A Novel Network Traffic Anomaly Detection Model Based on Superstatistics Theory[J]. Journal of Networks, 2011, 6(2): 311-318.
5. JIANG Ming, WU Chunming, HU Dawei. Research on the Comparison of Time Series Models for Network Traffic Prediction[J]. Acta Electronica Sinica, 2009, 37(11): 2353-2357.
6. DIA H. An Object-Oriented Neural Network Approach to Short-term Traffic Forecasting [J]. European Journal of Operational Research, 2001, 131(2): 253-261.
7. VLAHOGIANNI E, KARLAFTIS M, GOLIAS J. Optimized and Meta-optimized Neural Networks for Short-term Traffic Flow Prediction: A Genetic Approach[J]. Transportation Research Part C, 2005, 13(3): 211-234.
8. PARK D. Structure Optimization of BiLinear Recurrent Neural Networks and Its Application to Ethernet Network Traffic Prediction[J]. Information Sciences, 2008, 205(2): 648-657.
9. ZHU Xianwen, LI Furong. Traffic Flow Prediction Based on Artificial Life and RBF Neural Network[J]. Energy Procedia, 2011, 10(3): 1250-1254.
10. DANG Xiaochao, HAO Zhanjun, MEN Jian. Traffic Prediction of New Chaotic Elman Neural Network[J]. Computer Engineering, 2011, 3: 172-174.
11. LIU Weifeng, POKHAREL P, PRINCIPE J. Error Entropy, Correntropy and M-estimation[C]// Proceedings of the 16th IEEE Signal Processing Society Workshop: September 6-8, 2006. Machine Learning for Signal Processing, 2006: 179-184.
12. LIU Weifeng, POKHAREL P, PRINCIPE J. Correntropy: Properties and Applications in Non-Gaussian Signal Processing[J]. IEEE Transactions Signal Processing, 2007, 55(11): 5286-5298.
13. SHI Xiaohu. Improved Elman Networks and Applications for Controlling Ultrasonic Motors[J]. Applied Artificial Intelligence, 2004, 18(7): 603-629.
14. LIANG Xinrong, FAN Yekun, LI Jianye. Freeway Traffic Flow Model Based on Rough Sets and Elman Neural Network[C]// Proceedings of the International Conference on Information Engineering and Computer Science: December 19-20, 2009, Wuhan, China. IEEE Press, 2009: 124-128.
15. KOLBUSZ J, PASZCZYNSKI S, WILAMOWSKI B. Network Traffic Model for Industrial Environment[C]// Proceedings of the 3rd IEEE International Conference on Industrial Informatics (INDIN), 2005: 406-411.
16. CHEN Xiaotian, ZHANG Shunyi, TIAN Tingting. Internet Traffic Forecasting Based on BP Neural Network[J]. Journal of Nanjing University of Posts and Telecommunications, 2010, 6(2): 16-21.