Cargando…

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Kocarev, Ljupco (Editor ), Galias, Zbigniew (Editor ), Lian, Shiguo (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 184
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-540-95972-4
003 DE-He213
005 20220119034727.0
007 cr nn 008mamaa
008 100301s2009 gw | s |||| 0|eng d
020 |a 9783540959724  |9 978-3-540-95972-4 
024 7 |a 10.1007/978-3-540-95972-4  |2 doi 
050 4 |a TA329-348 
050 4 |a TA345-345.5 
072 7 |a TBJ  |2 bicssc 
072 7 |a TEC009000  |2 bisacsh 
072 7 |a TBJ  |2 thema 
082 0 4 |a 620  |2 23 
245 1 0 |a Intelligent Computing Based on Chaos  |h [electronic resource] /  |c edited by Ljupco Kocarev, Zbigniew Galias, Shiguo Lian. 
250 |a 1st ed. 2009. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2009. 
300 |a X, 380 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 184 
505 0 |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. 
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. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 0 |a System theory. 
650 0 |a Artificial intelligence. 
650 0 |a Mathematical physics. 
650 1 4 |a Mathematical and Computational Engineering Applications. 
650 2 4 |a Complex Systems. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Theoretical, Mathematical and Computational Physics. 
700 1 |a Kocarev, Ljupco.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Galias, Zbigniew.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Lian, Shiguo.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783642001222 
776 0 8 |i Printed edition:  |z 9783540959717 
776 0 8 |i Printed edition:  |z 9783642101113 
830 0 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 184 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-540-95972-4  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)