Intelligence for Nonlinear Dynamics and Synchronisation

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Kyamakya, Kyandoghere (Συγγραφέας), Bouchachia, Abdelhamid (Συγγραφέας), Chedjou, Jean C. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Paris : Atlantis Press, 2010.
Σειρά:Atlantis Computational Intelligence Systems, 3
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Kyamakya, Kyandoghere.  |e author. 
245 1 0 |a Intelligence for Nonlinear Dynamics and Synchronisation  |h [electronic resource] /  |c by Kyandoghere Kyamakya, Abdelhamid Bouchachia, Jean C. Chedjou. 
264 1 |a Paris :  |b Atlantis Press,  |c 2010. 
300 |a XIV, 306p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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490 1 |a Atlantis Computational Intelligence Systems,  |x 1875-7650 ;  |v 3 
505 0 |a Computational Intelligence -- Adaptive Computational Intelligence for Dynamical Systems -- Mealy Finite State Machines: A Quantum Inspired Evolutionary Approach -- Parallel Implementations for Computing the False Nearest Neighbors Method -- Pattern Recognition and Nonlinear Systems Techniques -- Modeling Gene Expression Dynamics by Kernel Auto-RegressiveModels for Time-Course Microarray Data -- Investigating the Usability of SIFT Features in Biometrics -- Super Resolution Challenges and Rewards -- Application of CI in Nonlinear Dynamic Systems -- Financial Markets Analysis: Can Nonlinear Science Contribute? -- Nonlinear Structural Dynamics and Seismic Control Synchronization -- Clustering In VANETs. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Artificial intelligence. 
650 1 4 |a Computer Science. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Bouchachia, Abdelhamid.  |e author. 
700 1 |a Chedjou, Jean C.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
830 0 |a Atlantis Computational Intelligence Systems,  |x 1875-7650 ;  |v 3 
856 4 0 |u http://dx.doi.org/10.2991/978-94-91216-30-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)