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
β¦ LIBER β¦
Prediction techniques of chaotic time series and its applications at low noise level
β Scribed by Jun-Hai Ma; Zhi-Qiang Wang; Yu-shu Chen
- Book ID
- 106345778
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 272 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0253-4827
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