Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems

  • Ivan Zelinka
  • Ponnuthurai Nagaratnam Suganthan
  • Guanrong Chen
  • Vaclav Snasel
  • Ajith Abraham
  • Otto Rössler

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 289)

Table of contents

  1. Front Matter
    Pages 1-13
  2. Lenka Skanderova, Ivan Zelinka, Tran Trong Dao, Duy Vo Hoang
    Pages 1-10
  3. Mindaugas Kurmis, Dale Dzemydiene, Arunas Andziulis, Miroslav Voznak, Sergej Jakovlev, Zydrunas Lukosius et al.
    Pages 21-30
  4. Gediminas Gricius, Darius Drungilas, Arunas Andziulis, Dale Dzemydiene, Miroslav Voznak
    Pages 31-41
  5. Vlastimil Hotař, Petr Salač, Ondřej Matúšek
    Pages 43-53
  6. Oldrich Zmeskal, Stanislav Nespurek, Michal Vesely, Petr Dzik
    Pages 55-63
  7. Zbyněk Janoška, Jiří Dvorský
    Pages 65-78
  8. Michal Pluhacek, Roman Senkerik, Ivan Zelinka, Donald Davendra
    Pages 79-88
  9. Michal Pluhacek, Roman Senkerik, Ivan Zelinka, Donald Davendra
    Pages 89-97
  10. Roman Senkerik, Michal Pluhacek, Ivan Zelinka, Donald Davendra, Zuzana Kominkova Oplatkova
    Pages 99-110
  11. Ivan Zelinka, Lenka Skanderova, Petr Šaloun, Roman Senkerik, Tran Trong Dao, Duy Vo Hoang
    Pages 123-129
  12. Peter Drábik, Petr Šaloun, Ivan Zelinka, Marie Vraná
    Pages 153-160
  13. Donald Davendra, Ivan Zelinka, Roman Senkerik, Michal Pluhacek
    Pages 161-174
  14. Daniel Honc, František Dušek, Rahul Sharma
    Pages 175-184

About these proceedings

Introduction

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.

Keywords

Complex Systems Intelligent Systems Nonlinear Systems Nostradamus 2014 Prediction and Modeling Soft Computing Applications

Editors and affiliations

  • Ivan Zelinka
    • 1
  • Ponnuthurai Nagaratnam Suganthan
    • 2
  • Guanrong Chen
    • 3
  • Vaclav Snasel
    • 4
  • Ajith Abraham
    • 5
  • Otto Rössler
    • 6
  1. 1.Department of Computer ScienceVŠB-TUOOstrava-PorubaCzech Republic
  2. 2.Nanyang Technological UniversitySingaporeSingapore
  3. 3.Department of Electronic EngineeringCity University of Hong KongHong KongChina
  4. 4.Department of Computer ScienceVŠB-TUOOstrava-PorubaCzech Republic
  5. 5.Scientific Network for Innovation and Research ExcellenceMachine Intelligence Research Labs (MIR Labs)AuburnUSA
  6. 6.Institute for Physical and Theoretical ChemistryUniversity of TübingenTübingenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-07401-6
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-07400-9
  • Online ISBN 978-3-319-07401-6
  • Series Print ISSN 2194-5357
  • Series Online ISSN 2194-5365
  • About this book
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