Intelligent Computing Based on Chaos

  • Ljupco Kocarev
  • Zbigniew Galias
  • Shiguo Lian

Part of the Studies in Computational Intelligence book series (SCI, volume 184)

Table of contents

  1. Front Matter
  2. Warwick Tucker
    Pages 1-23
  3. Maria De Marsico, Riccardo Distasi, Michele Nappi, Daniel Riccio
    Pages 73-92
  4. Maria De Marsico, Riccardo Distasi, Michele Nappi, Daniel Riccio
    Pages 93-120
  5. Fabio Pareschi, Gianluca Setti, Sergio Callegari, Riccardo Rovatti
    Pages 145-171
  6. Fabio Pareschi, Sergio Callegari, Gianluca Setti, Riccardo Rovatti
    Pages 173-196
  7. Hongbo Liu, Ajith Abraham
    Pages 197-212
  8. Ulrich Parlitz, Dongchuan Yu
    Pages 227-249
  9. José María Amigó
    Pages 291-313
  10. Aidan Mooney
    Pages 315-332
  11. Kwok-Wo Wong
    Pages 333-354
  12. Tommaso Addabbo, Ada Fort, Santina Rocchi, Valerio Vignoli
    Pages 355-377
  13. Back Matter

About this book

Introduction

Chaos is a fascinating phenomenon that has been observed in nature, laboratory, and has been applied in various real-world applications. Chaotic systems are deterministic with no random elements involved yet their behavior appears to be random. Observations of chaotic behavior in nature include weather and climate, the dynamics of satellites in the solar system, the time evolution of the magnetic field of celestial bodies, population growth in ecology, to mention only a few examples. Chaos has been observed in the laboratory in a number of systems such as electrical circuits, lasers, chemical reactions, fluid dynamics, mechanical systems, and magneto-mechanical devices. Chaotic behavior has also found numerous applications in electrical and communication engineering, information and communication technologies, biology and medicine.

The book project was launched to access the latest research related to chaos applications in intelligent computing where researchers from all over the world provide the necessary coverage of the mentioned field. The primary objective of this project was to assemble as much research coverage as possible related to the field by defining the latest innovative technologies and providing the most comprehensive list of research references. The coverage of this book provides strength to this reference resource for both researchers and also decision makers in obtaining a greater understanding of the concepts, issues, problems, trends, challenges and opportunities related to this field of study.

Keywords

Signal behavior calculus chaos communication computational intelligence control cryptography electronics intelligence model modeling neural network neural networks swarm intelligence

Editors and affiliations

  • Ljupco Kocarev
    • 1
  • Zbigniew Galias
    • 2
  • Shiguo Lian
    • 3
  1. 1.University of CaliforniaLa JollaUSA
  2. 2.AGH University of Science and Technology KrakowPoland
  3. 3.France Telecom R&D BeijingBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-95972-4
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-95971-7
  • Online ISBN 978-3-540-95972-4
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book