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Predictability of Complex Dynamical Systems (Springer Series in Synergetics)

Unknown Author
4.9/5 (13948 ratings)
Description:This book addresses 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 presenting topics like characterization of nonlinear correlations in data as dynamical systems, reconstruction of dynamical models from data, nonlinear noise reduction and the limits of predicatability. The authors consider practical problems from e.g. signal and time series analysis, biomedical data analysis, financial analysis, stochastic modeling, human evolution, and political modeling. They give new methods for nonlinear filtering of complex signals and new algorithms for signal classification, and the concept of the "Global Brain."We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Predictability of Complex Dynamical Systems (Springer Series in Synergetics). To get started finding Predictability of Complex Dynamical Systems (Springer Series in Synergetics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
3642802567

Predictability of Complex Dynamical Systems (Springer Series in Synergetics)

Unknown Author
4.4/5 (1290744 ratings)
Description: This book addresses 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 presenting topics like characterization of nonlinear correlations in data as dynamical systems, reconstruction of dynamical models from data, nonlinear noise reduction and the limits of predicatability. The authors consider practical problems from e.g. signal and time series analysis, biomedical data analysis, financial analysis, stochastic modeling, human evolution, and political modeling. They give new methods for nonlinear filtering of complex signals and new algorithms for signal classification, and the concept of the "Global Brain."We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Predictability of Complex Dynamical Systems (Springer Series in Synergetics). To get started finding Predictability of Complex Dynamical Systems (Springer Series in Synergetics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
3642802567
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