Cellular neural networks and visual computing: foundation and applications
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 analog computing industry. This unique...
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| Format: | E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2002
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| Links: | https://doi.org/10.1017/CBO9780511754494 |
| Zusammenfassung: | 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 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 Tamás Roska are both highly respected pioneers in the field. |
| Umfang: | 1 Online-Ressource (xi, 396 Seiten) |
| ISBN: | 9780511754494 |
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| spelling | Chua, Leon O. 1936- Cellular neural networks and visual computing foundation and applications Leon O. Chua and Tamáz Roska Cellular Neural Networks & Visual Computing Cambridge Cambridge University Press 2002 1 Online-Ressource (xi, 396 Seiten) txt c cr 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 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 Tamás Roska are both highly respected pioneers in the field. Roska, T. Erscheint auch als Druck-Ausgabe 9780521018630 Erscheint auch als Druck-Ausgabe 9780521652476 |
| spellingShingle | Chua, Leon O. 1936- Cellular neural networks and visual computing foundation and applications |
| title | Cellular neural networks and visual computing foundation and applications |
| title_alt | Cellular Neural Networks & Visual Computing |
| title_auth | Cellular neural networks and visual computing foundation and applications |
| title_exact_search | Cellular neural networks and visual computing foundation and applications |
| title_full | Cellular neural networks and visual computing foundation and applications Leon O. Chua and Tamáz Roska |
| title_fullStr | Cellular neural networks and visual computing foundation and applications Leon O. Chua and Tamáz Roska |
| title_full_unstemmed | Cellular neural networks and visual computing foundation and applications Leon O. Chua and Tamáz Roska |
| title_short | Cellular neural networks and visual computing |
| title_sort | cellular neural networks and visual computing foundation and applications |
| title_sub | foundation and applications |
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