A NOVEL COMBINED NETWORK TRAFFIC PREDICTION MODEL IN COGNITIVE NETWORKS

被引：0
|
作者：
Shang, Xiaopu [1 ,2 ]
Zhu, Xiaomin
Li, Dandan [1 ]
机构：
[1] Beijing Jiaotong Univ, Inst Informat Syst, Beijing, Peoples R China
[2] Beijing Jiaotong Univ, Sch Mech, Beijing, Peoples R China
来源：
ICISO 2010: PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON INFORMATICS AND SEMIOTICS IN ORGANISATIONS | 2010年
关键词：
Cognitive network; Traffic prediction; Neural network; Wavelet; Auto-regression;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the development of the network technology, the concept of Cognitive Network has been proposed and studied, and various kinds of algorithms and models in Cognitive Networks thus have become an hot topic of research. This paper proposes a novel model, which includes three stages. The proposed model may achieve a high-precision traffic prediction in cognitive networks. The model solves some problems in cognitive networks, such as low adaptive capability and an easy trap in local optimum when coming up with a fluctuated network flow.
引用
收藏
页码：205 / 211
页数：7
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