DocumentCode
2794694
Title
A Method to Determine the Parameters of Phase Space Reconstruction Based on the Neural Network
Author
Liu, Runjie ; Hou, Zhan ; Shen, Jinyuan
Author_Institution
Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou, China
fYear
2009
fDate
6-8 Nov. 2009
Firstpage
281
Lastpage
285
Abstract
In classic phase space reconstruction, the time lag is identical. In our research, the different time lags are found more effectively for teletraffic forecasting. In this paper, a method to determine the different time lags in phase space reconstruction is proposed. Simulation results show that the prediction is more accurate by using the different time lags in reconstruction phase space.
Keywords
delays; neural nets; phase space methods; time series; neural network; phase space reconstruction parameters determination; teletraffic forecasting; time lag determination; Approximation algorithms; Chaos; Delay effects; Feedforward neural networks; Neural networks; Neurons; Predictive models; Resonance light scattering; Time series analysis; Vectors; Phase Space Reconstruction; TDNN; embedding dimensions; pruning algorithm; time lags;
fLanguage
English
Publisher
ieee
Conference_Titel
Chaos-Fractals Theories and Applications, 2009. IWCFTA '09. International Workshop on
Conference_Location
Shenyang
Print_ISBN
978-0-7695-3853-2
Type
conf
DOI
10.1109/IWCFTA.2009.65
Filename
5362008
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