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...
| Main Authors: | Bezruchko, Boris P. (Author), Smirnov, Dmitry A. (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
|
| Series: | Springer Series in Synergetics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Extracting Knowledge From Time Series An Introduction to Nonlinear Empirical Modeling
by: Bezruchko, Boris P.
Published: (2010) -
Extreme Events in Nature and Society
Published: (2006) -
Viscoelastic Interfaces Driven in Disordered Media Applications to Friction /
by: Landes, François P.
Published: (2016) -
Econophysics of Markets and Business Networks Proceedings of the Econophys-Kolkata III /
Published: (2007) -
Extremes in Nature An Approach Using Copulas /
by: Salvadori, Gianfausto, et al.
Published: (2007)