Predictability of Complex Dynamical Systems
This is a book book for researchers and practitioners interested in modeling, prediction and forecasting of natural systems based on nonlinear dynamics. It is a practical guide to data analysis and to the development of algorithms, especially for complex systems. Topics such as the characterization...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1996, 1996
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| Edition: | 1st ed. 1996 |
| Series: | Springer Series in Synergetics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 2 Time Series Analysis: The Search for Determinism
- Method to Discriminate Against Determinism in Time Series Data
- Observing and Predicting Chaotic Signals: Is 2% Noise Too Much?
- A Discriminant Procedure for the Solution of Inverse Problems for Non-stationary Systems
- Classifying Complex, Deterministic Signals
- 3 Dynamical Modeling and Forecasting Algorithms
- Strategy and Algorithms of Dynamical Forecasting
- Parsimony in Dynamical Modeling
- The Bifurcation Paradox: The Final State Is Predictable If the Transition Is Fast Enough
- 4 Prediction of Biological Systems
- Models and Predictability of Biological Systems
- Limits of Predictability for Biospheric Processes
- 5 Analysis and Forecasting of Financial Data
- The Application of Wave Form Dictionaries to Stock Market Index Data
- 6 Socio-Political and Global Problems
- Messy Futures and Global Brains