Hardcover. 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. This book is an introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of backgrounds. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Dati bibliografici

Titolo: Cellular Neural Networks and Visual Computing (Hardcover)
Editore: Cambridge University Press, Cambridge
Data di pubblicazione: 2002
Lingua: Inglese
ISBN 10: 0521652472
ISBN 13: 9780521652476
Rilegatura: Hardcover
Condizione: new

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Riassunto

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

Recensione

"...rarely has a treatment of a new technology been so thoroughly researched and presented within the confines of a single book...an outstanding example of what a team of dedicated authors and a committed publisher can do towards exposing their potential readers to new technologies and development of new industries." Current Engineering Practice

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