Universality and emergent computation in cellular neural networks / Radu Dogaru.
Material type: TextSeries: World Scientific series on nonlinear science. Series A, Monographs and treatises ; ; v. 43.Publication details: Singapore ; River Edge, NJ : World Scientific, ©2003.Description: 1 online resource (xii, 247 pages) : illustrations (some color)Content type:- text
- computer
- online resource
- 9812564500
- 9789812564504
- 9789812381026
- 9812381023
- Neural networks (Computer science)
- Cellular automata
- Computational complexity
- Neural Networks, Computer
- Réseaux neuronaux (Informatique)
- Automates cellulaires
- Complexité de calcul (Informatique)
- COMPUTERS -- Neural Networks
- Cellular automata
- Computational complexity
- Neural networks (Computer science)
- Andre fag (naturvidenskab og teknik) Andre fag
- 006.32 22
- QA76.87 .D65 2003eb
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Electronic-Books | OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes bibliographical references (pages 233-244) and index.
Print version record.
Preface; Acknowledgements; Contents; Chapter 1 Introduction; Chapter 2 Cellular Paradigms; Chapter 3 Universal Cells; Chapter 4 Emergence in Continuous-Time Systems; Chapter 5 Emergence in Discrete-Time Systems; Chapter 6 Unconventional Applications; References; Index; About the Author.
Cellular computing is a natural information processing paradigm, capable of modeling various biological, physical and social phenomena, as well as other kinds of complex adaptive systems. The programmingof a cellular computer is in many respects similar to the geneticevolution in biology, the result being a proper cell design and atask-specific gene.
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