Prediction techniques of chaotic time series and its applications at low noise level
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Publication:944535
DOI10.1007/s10483-006-0102-1zbMath1149.65326OpenAlexW2094505575MaRDI QIDQ944535
Publication date: 17 September 2008
Published in: Applied Mathematics and Mechanics. (English Edition) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10483-006-0102-1
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Cites Work
- State space reconstruction in the presence of noise
- Regularized local linear prediction of chaotic time series
- Nonlinear saturation of prebifurcation noise amplification
- Modelling the dynamics of nonlinear time series using canonical variate analysis
- Fitting parameters in partial differential equations from partially observed noisy data
- Discriminating dynamical from additive noise in the Van der Pol oscillator
- Predicting chaotic time series with wavelet networks
- The nonlinear chaotic model reconstruction for the experimental data obtained from different dynamic system
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