Fuzzy neural network for VBR MPEG video traffic prediction

被引：0
|
作者：
Liu, XY [1 ]
Liu, XD [1 ]
Lin, XK [1 ]
Dai, QH [1 ]
机构：
[1] Tsing Hua Univ, Grad Sch Shenzhen, Res Ctr Broadband Network & Multimedia, Shenzhen 518055, Guangdong, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS | 2005年 / 3498卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As a main video transmission mode for digital media networks, the capability to predict VBR video traffic can significantly improve the effectiveness of quality of services. Therefore, based on fuzzy theory and neural network, a novel video traffic prediction model is proposed for the complex traffic characteristics of MPEG videos. This model reduces the prediction error and computation. Simulation results show that the proposed method is able to predict the original traffic more accurately and reliably than the conventional AR method.
引用
收藏
页码：403 / 408
页数：6
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