|Table of Contents|

Hierarchical combined forecasting based on L1 norm of reconstructed phase points

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2013年02期
Page:
286-
Research Field:
Publishing date:

Info

Title:
Hierarchical combined forecasting based on L1 norm of reconstructed phase points
Author(s):
Lu JianshanWang ChangmingZhang Aijun
School of Mechanical Engineering,NUST,Nanjing 210094,China
Keywords:
combined forecasting phase space reconstruction L1 norm hierarchical structure stabilized platform
PACS:
TP301.6
DOI:
-
Abstract:
To overcome the damage from the system time delay,a new hierarchical combined forecasting method based on L1 norm of reconstructed phase points is proposed using the phase space reconstruction theory and the combined forecasting method.For chaotic system series,the phase space delay coordinate reconstitution theory is applied to reconstruct the phase space,the hierarchical combined forecasting method is used to analyze the change laws of phase point L1 norm,and forecasting values of time series are obtained with the L1 norm inverse solution.The AR(p)model and metabolism GM(1,1)model are employed as single models while the hierarchical structure based the weight determining method is used to ascertain the weights of each single model.To improve the forecasting precision,residual errors are compensated with GM(1,1)model.The algorithm performance evaluation is obtained by simulating the measured data,and the simulating results verify the method effective.

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Last Update: 2013-04-30