Intelligent computing based on chaos

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 weat...

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Détails bibliographiques
Auteur principal: Kacprzyk, Janusz, 1947-
Autres auteurs: Galias, Zbigniew (Éditeur intellectuel), Lian, Shiguo (Éditeur intellectuel, Directeur de la publication), Galias, Zbigniew, 19..- (Directeur de la publication), Kocarev, ŷupčo, 19..- (Directeur de la publication)
Format: Livre numérique
Langue:Anglais
Publié: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Édition:1st ed. 2009.
Collection:Studies in Computational Intelligence 184
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
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Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Intelligent Computing Based on Chaos, Texte imprimé, 9783540959717
• Intelligent Computing Based on Chaos, Texte imprimé, 9783642001222
• Intelligent Computing Based on Chaos, Texte imprimé, 9783540959717
• Intelligent Computing Based on Chaos, Texte imprimé, 9783642101113
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505 1 |a Fundamentals of Chaos Computational Methods for Rigorous Analysis of Chaotic Systems Fundamentals of Fractal Sets, Space-Filling Curves and Their Applications in Electronics and Communications Fractal Based Image Indexing and Retrieval Fractal Indexing in Multimodal Biometric Contexts Chaotic Communications with Autocorrelation Receiver: Modeling, Theory and Performance Limits Implementation of Low EMI Spread Spectrum Clock Generators Exploiting a Chaos-Based Jitter Circuits and Systems for the Synthesis of Chaotic Signals in Engineering Applications Chaos and Swarm Intelligence A Model of Chaotic Neural Networks and Its Applications to Parallel Distributed Processing Synchronization and Control Based Parameter Identification Formation of Self-similar Traffic at Bottleneck Buffers of Computer Networks Complex Behavior of Parallel-Connected DC/DC Converters from Nonlinear Viewpoint Chaos-Based Cryptography Chaos Based Digital Watermarking Image Encryption Using Chaotic Maps Chaos Based Generation of True Random Bits 
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520 |a 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 
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