Prediction in lan traffic flow based on chaos theory

	Prediction in lan traffic flow based on chaos theory
	Wang, S.; H.-J. Yang and Y. Dong
	2016
发表期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷号	36 期号:6
摘要	First, the LAN traffic flow time series are reconstructed in the phase space using Takens theory. Then the embedding dimension and delay time are calculated via the C-C algorithm. Third, the average period is calculated via the frequency weighting derived from the power and averaging method. With the above steps the improved small data method becomes more complete. The improved small data method is applied to calculate the largest Lyapunov exponent of the chaos time series of the Lorenz system and the prediction data of the real measured LAN traffic flow time series. Results show that the LAN peak traffic flow is chaotic and the prediction based on the improved small data method is more accurate, faster, and more points can be predicted. 2016, Editorial Board of Jilin University. All right reserved.
文章类型	期刊
收录类别	EI
语种	中文
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/57243
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang, S.,H.-J. Yang and Y. Dong. Prediction in lan traffic flow based on chaos theory[J]. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology,2016,36(6).
APA	Wang, S.,&H.-J. Yang and Y. Dong.(2016).Prediction in lan traffic flow based on chaos theory.Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology,36(6).
MLA	Wang, S.,et al."Prediction in lan traffic flow based on chaos theory".Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 36.6(2016).

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