Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2008-09-12
Nonlinear Sciences
Chaotic Dynamics
4 pages, 3 figures, 1 table, proceedings of NOLTA2008 Conference
Scientific paper
In the prediction of oscillating time series, the interest is in the turning points of successive oscillations rather than the samples themselves. For this purpose a scheme has been proposed; the state space reconstruction is limited to the turning points and the local (nearest neighbor) model is modified in order to predict the turning point magnitudes and times. This approach is extended here using a local dynamic regression model on both turning point magnitudes and times. Simulations on oscillating nonlinear systems show that the proposed approach gives better predictions of turning points than the standard local model applied to all the samples of the oscillating time series.
Kugiumtzis Dimitris
Vlachos Ioannis
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