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Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Ivan Zelinka

    1. Faculty of Electrical Engineering and Co, Department of Computer Science, VŠB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

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  2. Otto E. Rössler

    1. Institute of Physical and, Theoretical Chemistry, University of Tuebingen, Tuebingen, Germany

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  3. Václav Snášel

    1. , Faculty of Electrical Engineering, Department of Computer Science, Ostrava-Poruba, Czech Republic

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  4. Ajith Abraham

    1. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, USA

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  5. Emilio S. Corchado

    1. , Dept. de Informática y Automática, University of Salamanca, Salamanca, Spain

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  • Recent Research on modern methods of prediction, modeling and analysis of nonlinear systems
  • Proceedings of the 2012 International Nostradamus conference on modern methods of prediction, modeling and analysis of nonlinear systems held at September 5- 7 2012 in Prague, Czech Republic
  • Focused on prediction of the behavior of the dynamical systems by means of classical as well as modern methods from mathematics and soft-computing

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 192)

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Table of contents (28 papers)

  1. Front Matter

    Pages 1-11
    Download chapter PDF

  2. Is Hot Fusion Made Feasible by the Discovery of Cryodynamics?

    • Otto E. Rössler, Ali Sanayei, Ivan Zelinka
    Pages 1-4

  3. Fitness Landscapes and Evolutionary Dynamics

    • Hendrik Richter
    Pages 5-8

  4. Observer Design for Polytopic Systems: Application to Chaotic System Reconstruction

    • Mohammed Chadli
    Pages 9-24

  5. Entropy of Fractal Systems

    • Oldrich Zmeskal
    Pages 25-26

  6. Modeling Complexity: From Cellular Automata to Evolutionary Game Theory and Multiagent Systems with Coalitions

    • Juan Carlos Burguillo-Rial
    Pages 27-28

  7. On Evolutionary Synthesis of Chaotic Systems

    • Ivan Zelinka
    Pages 29-34

  8. On the Evolutionary Optimization of Chaos Control – A Brief Survey

    • Roman Senkerik
    Pages 35-48

  9. The Use of Soft Computing Methods for Forecasting in Business, Their Applications in Practice

    • Petr Dostál
    Pages 49-60

  10. Adaptive Predictive Control of Time-Delay Systems

    • Vladimír Bobál, Marek Kubalčík, Petr Dostál, Jakub Matějíček
    Pages 61-72

  11. Specific Behaviour of GPA-ES Evolutionary System Observed in Deterministic Chaos Regression

    • Tomas Brandejsky, Ivan Zelinka
    Pages 73-81

  12. Chaos Synchronization Based on Unknown Inputs Takagi-Sugeno Fuzzy Observer

    • Mohammed Chadli, Ivan Zelinka
    Pages 83-92

  13. Modeling and Model Predictive Control of Nonlinear Hydraulic System

    • Petr Chalupa, Jakub Novák
    Pages 93-102

  14. Usage of the Evolutionary Designed Neural Network for Heat Demand Forecast

    • B. Chramcov, P. Vařacha
    Pages 103-112

  15. Fuzzy Logic Decision Support for Long-Term Investing in the Financial Markets

    • Zdeňek Brož, Petr Dostál
    Pages 113-121

  16. Possibilities of Industrial Data Description Using Fractal Geometry

    • Vlastimil Hotař
    Pages 123-132

  17. Influence of Number of Neurons in Time Delay Recurrent Networks with Stochastic Weight Update on Backpropagation Through Time

    • Juraj Koščák, Rudolf Jakša, Peter Sinčák
    Pages 133-141

  18. Multiple Model Predictive Control of a Styrene Polymerization Process

    • Jakub Novák, Petr Chalupa
    Pages 143-152

  19. Impact of Various Chaotic Maps on the Performance of Chaos Enhanced PSO Algorithm with Inertia Weight – An Initial Study

    • Michal Pluhacek, Roman Senkerik, Ivan Zelinka
    Pages 153-166

  20. Extended Initial Study on the Performance of Enhanced PSO Algorithm with Lozi Chaotic Map

    • Michal Pluhacek, Vera Budikova, Roman Senkerik, Zuzana Oplatkova, Ivan Zelinka
    Pages 167-177
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Keywords

About this book

This proceeding book of Nostradamus conference (http://nostradamus-conference.org) contains accepted papers presented at this event in 2012. Nostradamus conference was held in the one of the biggest and historic city of Ostrava (the Czech Republic, http://www.ostrava.cz/en), in September 2012.

Conference topics are focused on classical as well as modern methods for prediction of dynamical systems with applications in science, engineering and economy. Topics are (but not limited to): prediction by classical and novel methods, predictive control, deterministic chaos and its control, complex systems, modelling and prediction of its dynamics and much more.

Editors and Affiliations

  • Faculty of Electrical Engineering and Co, Department of Computer Science, VŠB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

  • Institute of Physical and, Theoretical Chemistry, University of Tuebingen, Tuebingen, Germany

    Otto E. Rössler

  • , Faculty of Electrical Engineering, Department of Computer Science, Ostrava-Poruba, Czech Republic

    Václav Snášel

  • (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, Auburn, USA

    Ajith Abraham

  • , Dept. de Informática y Automática, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado

Bibliographic Information

  • Book Title: Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems

  • Editors: Ivan Zelinka, Otto E. Rössler, Václav Snášel, Ajith Abraham, Emilio S. Corchado

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-642-33227-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-33226-5Published: 01 September 2012

  • eBook ISBN: 978-3-642-33227-2Published: 24 October 2012

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XVI, 283

  • Number of Illustrations: 132 b/w illustrations

  • Topics: Complexity, Computational Intelligence, Artificial Intelligence

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