Nonlinear dynamics and chaos with applications to hydrodynamics and hydrological modelling : dissertation submitted in fulfilment of the requirements of the Board for the Doctorate of Delft University of Technology and the Academic Board of the UNESCO-IHE Institute for Water Education for the degree of doctor to be defended in public on Tuesday, 18 May at 10:30 hours in Delft, The Netherlands / by Slavco Velickov.
2004
Q172.5.C45 V45 2004
Linked e-resources
Linked Resource
Online Access
Details
Title
Nonlinear dynamics and chaos with applications to hydrodynamics and hydrological modelling : dissertation submitted in fulfilment of the requirements of the Board for the Doctorate of Delft University of Technology and the Academic Board of the UNESCO-IHE Institute for Water Education for the degree of doctor to be defended in public on Tuesday, 18 May at 10:30 hours in Delft, The Netherlands / by Slavco Velickov.
Author
Velickov, Slavco, author.
ISBN
9058096912
9789058096913
9780203024324 (e-book)
9789058096913
9780203024324 (e-book)
Published
London : Taylor & Francis Group plc, [2004]
Copyright
©2004
Language
English
Description
1 online resource (409 pages) : illustrations
Call Number
Q172.5.C45 V45 2004
Dewey Decimal Classification
627.042
Note
"Dissertation : submitted in fulfilment of the requirements of the board for the doctorate of Delft University of Technology and the Academic Board of the UNESCO-IHE Institute for Water Education for the degree of doctor to be defended in public on Tuesday, 18 May at 10:30 hours in Delft, The Netherlands."
Dissertation Note
Thesis (doctoral)--Delft University of Technology, Delft, 2004.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
1. Introduction
2. Learning and regularisation
3. Nonlinear dynamical systems and deterministic chaos
4. Dynamic Bayesian networks
5. A hybrid framework for modelling nonlinear dynamical systems
6. Case studies
7. Conclusions.
2. Learning and regularisation
3. Nonlinear dynamical systems and deterministic chaos
4. Dynamic Bayesian networks
5. A hybrid framework for modelling nonlinear dynamical systems
6. Case studies
7. Conclusions.