Fuzzy prediction of chaotic time series based on singular value decomposition

DOI10.1016/j.amc.2006.07.033zbMath1112.65008OpenAlexW2132556782MaRDI QIDQ872385

N. E. Zubov

Publication date: 27 March 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2006.07.033

zbMATH Keywords

parameter estimationnumerical examplessingular value decompositionLorenz chaotic systemchaotic time seriesfuzzy clustering methoddynamic systemsMackey-Glass time seriesrecursive least square algorithm

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Fuzzy real analysis (26E50)

Related Items (2)

Interval type-2 evolving fuzzy Kalman filter for processing of unobservable spectral components from uncertain experimental data ⋮ Analytic reconstruction of some dynamical systems

Uses Software

• ANFIS

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