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Unlike truly random processes, chaotic dynamics can be forecasted very precisely in a short run. In this paper, one of the methods applied to predicting chaotic dynamics - a local polynomial approximation, has been presented. A first step of this method is a reconstruction of system states by considering delay vectors. This procedure requires determining two parameters: an embedding dimension and a time delay. Examples of the methods developed for this purpose are false nearest neighbours and mutual information. The aim of this paper is to examine an adequacy of these techniques in application to forecast methods. In addition, an alternative method of determining the parameters of delay vectors is proposed.(fragment of text)
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autor
- Nicolaus Copernicus University in Toruń, Poland
Bibliografia
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Bibliografia
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bwmeta1.element.ekon-element-000171297249