Time series analysis and prediction on complex dynamical behavior observed in a blast furnace

DOI10.1016/S0167-2789(99)00135-9zbMath0985.37096MaRDI QIDQ1964026

Yanyan Li

Publication date: 10 April 2000

Published in: Physica D (Search for Journal in Brave)

zbMATH Keywords

predictive modelscomplex time series

Mathematics Subject Classification ID

Time series analysis of dynamical systems (37M10)

Related Items (5)

Blast Furnace System Modeling by Multivariate Phase Space Reconstruction and Neural Networks ⋮ A new approach to the prediction of passenger flow in a transit system ⋮ Detection of changes in non-linear dynamics for time series based on the theory of \(\mathrm{KM}_2 \mathrm O\)-Langevin equations ⋮ Modeling nonlinear dynamics and chaos: a review ⋮ Multiscale dynamic analysis of blast furnace system based on intensive signal processing

Cites Work

• Unnamed Item
• The theory of KM\(_2\)O-Langevin equations and its applications to data analysis. I: Stationary analysis
• Finite correlation dimension for stochastic systems with power-law spectra
• Nonlinear prediction of chaotic time series
• Application of the theory of \(\text{KM}_ 2\)O-Langevin equations to the linear prediction problem for the multi-dimensional weakly stationary time series
• A new algorithm derived from the view-point of the fluctuation- dissipation principle in the theory of \(\text{KM}_ 2\text{O}\)-Langevin equations
• Application of the theory of \(KM_ 2 O\)-Langevin equations to the nonlinear prediction problem for the one-dimensional strictly stationary time series
• Coarse-grained embeddings of time series: Random walks, Gaussian random processes, and deterministic chaos
• TIME SERIES ANALYSIS OF COMPLEX DYNAMICAL BEHAVIOR CONTAMINATED WITH OBSERVATIONAL NOISE
• Regularization Algorithms for Learning That Are Equivalent to Multilayer Networks
• The Claude Bernard Lecture, 1989 - Deterministic chaos: the science and the fiction
• The theory of KM₂O-Langevin equations and applications to data analysis (II): Causal analysis (1)
• MEASURING THE PREDICTABILITY OF NOISY RECURRENT TIME SERIES

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