Cargando…
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...
| Autores principales: | , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
Springer
2010
|
| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-12601-7 http://cds.cern.ch/record/1339311 |