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Research on optimize prediction model and algorithm about chaotic time series

โœ Scribed by Jiang Wei-jin; Xu Yu-sheng

Book ID
105625834
Publisher
Wuhan University
Year
2004
Tongue
English
Weight
661 KB
Volume
9
Category
Article
ISSN
1007-1202

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The embedding dimension and the number of nearest neighbors are very important parameters in the prediction of chaotic time series. To reduce the prediction errors and the uncertainties in the determination of the above parameters, a new chaos Bayesian optimal prediction method (CBOPM) is proposed b