Global prediction for chaotic time series based on continued fractions

• Published in: IEEE International Symposium on Communications and Information Technology, 2005. ISCIT 2005 Vol. 2; pp. 1528 - 1531
• Main Authors: Sen Zhang, Xianci Xiao
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Approximation methods; Chaos; Educational institutions; Electronic mail; Equations; Nonlinear dynamical systems; Polynomials; Prediction methods; Predictive models; Time series analysis

A non-linear global predictable model for chaotic time series is built, and it based on continued-fraction approximation and phase-space reconfiguration, while the dynamic model can't be known for the system of chaotic time series, we develop the polynomial approximation method to the rational-...