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Cellular neural networks and visual computing : foundation and applications
Authors: ---
ISBN: 1107117461 0511040512 1280420677 9786610420674 0511176945 0511157827 0511329849 0511754493 1601197357 0511048254 9781601197351 9780511040511 9780511754494 9780511048258 9780511157820 9781280420672 661042067X 9780521652476 0521652472 9781107117464 9780511176944 9780511329845 9780521018630 0521018633 Year: 2002 Publisher: Cambridge Cambridge University press

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Abstract

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.

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