Alternative predictors in chaotic time series
Published: 24 February 2017| Version 1 | DOI: 10.17632/pnhy9zymrp.1
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, , Description
In the scheme of reconstruction, non-polynomial predictors improve the forecast from chaotic time series. The algebraic manipulation in the Maple environment is the basis for obtaining of accurate predictors. Beyond the different times of prediction, the optional arguments of the computational routines optimize the running and the analysis of global mappings.
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Natural Sciences