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INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION

  • Book
  • © 2010

Overview

Authors:
  1. Kyandoghere Kyamakya

    1. University of Klagenfurt, Klagenfurt, Austria

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  2. Abdelhamid Bouchachia

    1. University of Klagenfurt, Klagenfurt, Austria

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  3. Jean C. Chedjou

    1. University of Klagenfurt, Klagenfurt, Austria

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Part of the book series: Atlantis Computational Intelligence Systems (ATLANTISCIS, volume 3)

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Computational Intelligence

    1. Front Matter

      Pages 1-1
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    2. Adaptive Computational Intelligence for Dynamical Systems

      • Abdelhamid Bouchachia
      Pages 3-20

    3. Mealy Finite State Machines: A Quantum Inspired Evolutionary Approach

      • Nadia Nedjah, Marcos Paulo Mello Araujo, Luiza de Macedo Mourelle
      Pages 21-56

    4. Parallel Implementations for Computing the False Nearest Neighbors Method

      • I. Marín Carrión, E. Arias Antúnez, M. M. Artigao Castillo, J. J. Mirallles Canals
      Pages 57-93

  3. Pattern Recognition and Nonlinear Systems Techniques

    1. Front Matter

      Pages 95-95
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    2. Modeling Gene Expression Dynamics by Kernel Auto-RegressiveModels for Time-Course Microarray Data

      • Sylvia Young
      Pages 97-123

    3. Investigating the Usability of SIFT Features in Biometrics

      • Dakshina Ranjan Kisku, Ajita Rattani, Massimo Tistarelli, Jamuna Kanta Sing, Phalguni Gupta
      Pages 125-161

    4. Super Resolution Challenges and Rewards

      • Alaa A. Hefnawy
      Pages 163-206

  4. Application of CI in Nonlinear Dynamic Systems

    1. Front Matter

      Pages 207-207
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    2. Financial Markets Analysis: Can Nonlinear Science Contribute?

      • Angelos T. Vouldis
      Pages 209-243

    3. Nonlinear Structural Dynamics and Seismic Control Synchronization

      • Svetla Radeva
      Pages 245-270

    4. Clustering In VANETs

      • Sadaf Momeni, Mahmood Fathy
      Pages 271-301

  5. Back Matter

    Pages 303-306
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Keywords

About this book

Over the past years, the appropriateness of Computational Intelligence (CI) techniques in modeling and optimization tasks pertaining to complex nonlinear dynamic systems has become indubitable, as attested by a large number of studies reporting on the successful application of CI models in nonlinear science (for example, adaptive control, signal processing, medical diagnostic, pattern formation, living systems, etc.). This volume summarizes the state-of-the-art of CI in the context of nonlinear dynamic systems and synchronization. Aiming at fostering new breakthroughs, the chapters in the book focus on theoretical, experimental and computational aspects of recent advances in nonlinear science intertwined with computational intelligence techniques. In addition, all the chapters have a tutorial-oriented structure.

Authors and Affiliations

  • University of Klagenfurt, Klagenfurt, Austria

    Kyandoghere Kyamakya, Abdelhamid Bouchachia, Jean C. Chedjou

Bibliographic Information

  • Book Title: INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION

  • Authors: Kyandoghere Kyamakya, Abdelhamid Bouchachia, Jean C. Chedjou

  • Series Title: Atlantis Computational Intelligence Systems

  • DOI: https://doi.org/10.2991/978-94-91216-30-5

  • Publisher: Atlantis Press Paris

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Atlantis Press and the authors 2010

  • eBook ISBN: 978-94-91216-30-5Published: 01 September 2010

  • Series ISSN: 1875-7650

  • Series E-ISSN: 2215-1710

  • Edition Number: 1

  • Number of Pages: XIV, 306

  • Topics: Artificial Intelligence

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