Cellular neural networks and visual computing : foundation and applications /
This is a unique undergraduate level textbook on Cellular Nonlinear/neural Networks (CNN) technology. The many examples and excercises, including a simulator accessible via the Internet, make this book an ideal introduction to CNNs and analogic cellular computing for students, researchers and engine...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge, UK ; New York, NY :
Cambridge University Press,
2002.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Introduction
- 2. Notation, definitions, and mathematical foundation
- 3. Characteristics and analysis of simple CNN templates
- 4. Simulation of the CNN dynamics
- 5. Binary CNN characterization via Boolean functions
- 6. Uncoupled CNNs: unified theory and applications
- 7. Introduction to the CNN Universal Machine
- 8. Back to basics: Nonlinear dynamics and complete stability
- 9. The CNN Universal Machine (CNN-UM)
- 10. Template design tools
- 11. CNNs for linear image processing
- 12. Coupled CNN with linear synaptic weights
- 13. Uncoupled standard CNNs with nonlinear synaptic weights
- 14. Standard CNNs with delayed synaptic weights and motion analysis.