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...
| Основен автор: | Chua, Leon O., 1936- |
|---|---|
| Други автори: | Roska, T. |
| Формат: | Електронна книга |
| Език: | English |
| Публикувано: |
Cambridge, UK ; New York, NY :
Cambridge University Press,
2002.
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| Предмети: | |
| Онлайн достъп: |
http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=112470 |
| Подобни документи: |
Print version::
Cellular neural networks and visual computing. |
Съдържание:
- 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.