| Titre : |
Cellular neural networks and visual computing : foundation and applications |
| Type de document : |
texte imprimé |
| Auteurs : |
Chua,Leon O., Auteur ; Roska,Tamàs, Auteur |
| Editeur : |
Cambridge : Cambridge University Press |
| Année de publication : |
2002 |
| Importance : |
396 p. |
| Présentation : |
ill. |
| Format : |
25 cm |
| ISBN/ISSN/EAN : |
978-0-521-65247-6 |
| Note générale : |
Notes bibliogr. en fin de chap. Bibliogr. p. 348-360. Index
|
| Langues : |
Anglais (eng) |
| Mots-clés : |
Réseaux neuronaux (informatique)
Vision par ordinateur |
| Index. décimale : |
681.3.01 Principes du traitement des données |
| Résumé : |
Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an entire new analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamas Roska are both highly respected pioneers in the field. |
| Note de contenu : |
* Notations, definitions and mathematical foundation.
* Characteristics and analysis of simple CNN templates.
* Simulation of the CNN dynamics.
* Binary CNN characterization via Boolean functions.
* Uncoupled CNNs: unified theory and applications.
* Introduction to the CNN universal machine.
* Back to basics: nonlinear dynamics and complete stability.
* The CNN universal machine (CNN - UM).
* Template design tools.
* CNNs for linear image processing.
... |
Cellular neural networks and visual computing : foundation and applications [texte imprimé] / Chua,Leon O., Auteur ; Roska,Tamàs, Auteur . - Cambridge : Cambridge University Press, 2002 . - 396 p. : ill. ; 25 cm. ISBN : 978-0-521-65247-6 Notes bibliogr. en fin de chap. Bibliogr. p. 348-360. Index
Langues : Anglais ( eng)
| Mots-clés : |
Réseaux neuronaux (informatique)
Vision par ordinateur |
| Index. décimale : |
681.3.01 Principes du traitement des données |
| Résumé : |
Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an entire new analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamas Roska are both highly respected pioneers in the field. |
| Note de contenu : |
* Notations, definitions and mathematical foundation.
* Characteristics and analysis of simple CNN templates.
* Simulation of the CNN dynamics.
* Binary CNN characterization via Boolean functions.
* Uncoupled CNNs: unified theory and applications.
* Introduction to the CNN universal machine.
* Back to basics: nonlinear dynamics and complete stability.
* The CNN universal machine (CNN - UM).
* Template design tools.
* CNNs for linear image processing.
... |
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