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A kind of adaptive nonlinear predict-filter of chaotic time series using the neighbourhood in the reconstructed phase space,the minimum square-root-error criterion and the steepest descent principle is proposed.It can convert the time domain into the multi-dimensional vector domain, and predict chaotic time series by nonlinear filter. The result of computer simulation illustrates that the algorithm is available to predict some chaotic series and anti-noise.
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Keywords:
- chaotic time series /
- reconstructed vector /
- nonlinear adaptive prediction /
- the minimum square root error criterion







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