Extracting Knowledge From Time Series An Introduction to Nonlinear Empirical Modeling /
This book addresses the fundamental question of how to construct mathematical models for the evolution of dynamical systems from experimentally-obtained time series. It places emphasis on chaotic signals and nonlinear modeling and discusses different approaches to the forecast of future system evolu...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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Σειρά: | Springer Series in Synergetics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Models And Forecast
- The Concept of Model. What is Remarkable in Mathematical Models
- Two Approaches to Modelling and Forecast
- Dynamical (Deterministic) Models of Evolution
- Stochastic Models of Evolution
- Modeling From Time Series
- Problem Posing in Modelling from Data Series
- Data Series as a Source for Modelling
- Restoration of Explicit Temporal Dependencies
- Model Equations: Parameter Estimation
- Model Equations: Restoration of Equivalent Characteristics
- Model Equations: “Black Box” Reconstruction
- Practical Applications of Empirical Modelling
- Identification of Directional Couplings
- Outdoor Examples.