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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Bezruchko, Boris P. (Συγγραφέας), Smirnov, Dmitry A. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Σειρά:Springer Series in Synergetics,
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.