Cellular Neural Networks and Visual Computing - Foundations and Applications (Paperback, Revised)

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 Tamas Roska are both highly respected pioneers in the field.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	August 2005
First published:	2002
Authors:	Leon O. Chua • Tamas Roska
Dimensions:	254 x 178 x 24mm (L x W x T)
Format:	Paperback - Trade
Pages:	412
Edition:	Revised
ISBN-13:	978-0-521-01863-0
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	0-521-01863-3
Barcode:	9780521018630

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