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	Fuzzy neural network for VBR MPEG video traffic prediction
	Liu, XY ; Liu, XD ; Lin, XK ; Dai, QH
	2010-05-10 ; 2010-05-10
会议名称	ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS ; 2nd International Symposium on Neural Networks ; Chongqing, PEOPLES R CHINA ; Web of Science
关键词	TRANSMISSION Computer Science, Theory & Methods
中文摘要	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.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19993]
专题	清华大学
推荐引用方式 GB/T 7714	Liu, XY,Liu, XD,Lin, XK,et al. Fuzzy neural network for VBR MPEG video traffic prediction[C]. 见:ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 3, PROCEEDINGS, 2nd International Symposium on Neural Networks, Chongqing, PEOPLES R CHINA, Web of Science.

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