Cellular neural networks and visual computing : foundation and applications

✍ Scribed by Roska, T.; Chua, Leon O

Publisher: Cambridge University Press
Year: 2002
Tongue: English
Leaves: 410
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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 engineers from a wide range of backgrounds.

Abstract:

A unique undergraduate level textbook on Cellular Nonlinear/neural Networks (CNN) technology and analogic computing. Read more...

✦ Table of Contents

Content: 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.

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