INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION
Authors: Bouchachia, Abdelhamid
Editors: Kyamakya, Kyandoghere (Ed.)
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- About this book
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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.
- Table of contents (9 chapters)
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Adaptive Computational Intelligence for Dynamical Systems
Pages 3-20
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Mealy Finite State Machines: A Quantum Inspired Evolutionary Approach
Pages 21-56
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Parallel Implementations for Computing the False Nearest Neighbors Method
Pages 57-93
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Modeling Gene Expression Dynamics by Kernel Auto-RegressiveModels for Time-Course Microarray Data
Pages 97-123
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Investigating the Usability of SIFT Features in Biometrics
Pages 125-161
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Table of contents (9 chapters)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- INTELLIGENCE FOR NONLINEAR DYNAMICS AND SYNCHRONISATION
- Authors
-
- Abdelhamid Bouchachia
- Editors
-
- Kyandoghere Kyamakya
- Series Title
- Atlantis Computational Intelligence Systems
- Series Volume
- 3
- Copyright
- 2010
- Publisher
- Atlantis Press
- Copyright Holder
- Atlantis Press and the authors
- eBook ISBN
- 978-94-91216-30-5
- DOI
- 10.2991/978-94-91216-30-5
- Series ISSN
- 1875-7650
- Edition Number
- 1
- Number of Pages
- XIV, 306
- Topics
