Prediction of multivariate chaotic time
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Li-yun Su
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Article
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2010
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Elsevier Science
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English
β 761 KB
To improve the prediction accuracy of complex multivariate chaotic time series, a novel scheme formed on the basis of multivariate local polynomial fitting with the optimal kernel function is proposed. According to Takens Theorem, a chaotic time series is reconstructed into vector data, multivariate