http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Cellular neural networks and visual computing
1 online resource (xi, 396 pages) : illustrations
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.
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.
Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Includes bibliographical references (pages 348-360) and index.
Cambridge, UK ; New York, NY : Cambridge University Press, 2002