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  • Conference proceedings
  • © 2014

Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems

  • Recent research on modern methods of prediction, modeling and analysis of complex systems
  • Proceedings of the 2014 International Nostradamus conference on modern methods of prediction, modeling and analysis of nonlinear systems held at June 23- 25 2014 in Ostrava, 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 289)

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Table of contents (45 papers)

  1. Front Matter

    Pages 1-13
  2. Chaos Level Measurement in Logistic Map Used as the Chaotic Numbers Generator in Differential Evolution

    • Lenka Skanderova, Ivan Zelinka, Tran Trong Dao, Duy Vo Hoang
    Pages 1-10
  3. Prediction Based Context Data Dissemination and Storage Model for Cooperative Vehicular Networks

    • Mindaugas Kurmis, Dale Dzemydiene, Arunas Andziulis, Miroslav Voznak, Sergej Jakovlev, Zydrunas Lukosius et al.
    Pages 21-30
  4. SOM Based Multi-agent Hydro Meteorological Data Collection System

    • Gediminas Gricius, Darius Drungilas, Arunas Andziulis, Dale Dzemydiene, Miroslav Voznak
    Pages 31-41
  5. Estimation of Fractal Dimension and Statistical Tools for Surface Evaluation

    • Vlastimil Hotař, Petr Salač, Ondřej Matúšek
    Pages 43-53
  6. Statistics of Fractal Systems

    • Oldrich Zmeskal, Stanislav Nespurek, Michal Vesely, Petr Dzik
    Pages 55-63
  7. Modelling Queues in Transportation Networks Using P Systems

    • Zbyněk Janoška, Jiří Dvorský
    Pages 65-78
  8. Tuning the Lozi Map in Chaos Driven PSO Inspired by the Multi-chaotic Approach

    • Michal Pluhacek, Roman Senkerik, Ivan Zelinka, Donald Davendra
    Pages 79-88
  9. Chaos Driven PSO with Ensemble of Priority Factors

    • Michal Pluhacek, Roman Senkerik, Ivan Zelinka, Donald Davendra
    Pages 89-97
  10. Multi-chaotic Differential Evolution: Determining the Switching Time

    • Roman Senkerik, Michal Pluhacek, Ivan Zelinka, Donald Davendra, Zuzana Kominkova Oplatkova
    Pages 99-110
  11. Analytic Programming Powered by Chaotic Dynamics

    • Ivan Zelinka, Lenka Skanderova, Petr Šaloun, Roman Senkerik, Tran Trong Dao, Duy Vo Hoang
    Pages 123-129
  12. Better and Faster Spectra Analysis Using Analytical Programming on CUDA

    • Peter Drábik, Petr Šaloun, Ivan Zelinka, Marie Vraná
    Pages 153-160
  13. Complex Network Analysis of Discrete Self-organising Migrating Algorithm

    • Donald Davendra, Ivan Zelinka, Roman Senkerik, Michal Pluhacek
    Pages 161-174
  14. GUNT RT 010 Experimental Unit Modelling and Predictive Control Application

    • Daniel Honc, František Dušek, Rahul Sharma
    Pages 175-184

About this book

The prediction of behavior of complex systems, analysis and modeling of its structure is a vitally important problem in engineering, economy and generally in science today. Examples of such systems can be seen in the world around us (including our bodies) and of course in almost every scientific discipline including such “exotic” domains as the earth’s atmosphere, turbulent fluids, economics (exchange rate and stock markets), population growth, physics (control of plasma), information flow in social networks and its dynamics, chemistry and complex networks. To understand such complex dynamics, which often exhibit strange behavior, and to use it in research or industrial applications, it is paramount to create its models. For this purpose there exists a rich spectrum of methods, from classical such as ARMA models or Box Jenkins method to modern ones like evolutionary computation, neural networks, fuzzy logic, geometry, deterministic chaos amongst others.

This proceedings book is a collection of accepted papers of the Nostradamus conference that has been held in Ostrava, Czech Republic in June 2014. This book also includes outstanding keynote lectures by distinguished guest speakers: René Lozi (France), Ponnuthurai Nagaratnam Suganthan (Singapore) and Lars Nolle (Germany). The main aim of the conference was to create a periodical possibility for students, academics and researchers to exchange their ideas and novel research methods. This conference establishes a forum for presentation and discussion of recent research trends in the area of applications of various predictive methods.

Editors and Affiliations

  • Department of Computer Science, VŠB-TUO, Ostrava-Poruba, Czech Republic

    Ivan Zelinka, Vaclav Snasel

  • Nanyang Technological University, Singapore, Singapore

    Ponnuthurai Nagaratnam Suganthan

  • Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China

    Guanrong Chen

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

    Ajith Abraham

  • Institute for Physical and Theoretical Chemistry, University of Tübingen, Tübingen, Germany

    Otto Rössler

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access