Cellular neural networks and visual Computing

Leon O. Chua, Tamas Roska

ISBN 10: 0521652472 / ISBN 13: 9780521652476

Published by Cambridge University Press, Cambridge, 2002

About this Item

Brand new, 396 pp, Content: 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. Size: 25,5 Cm.

Seller Inventory # 000022

Bibliographic Details

• Title: Cellular neural networks and visual Computing
• Publisher: Cambridge University Press, Cambridge
• Publication Date: 2002
• Language: English
• ISBN 10: 0521652472
• ISBN 13: 9780521652476
• Binding: Hardcover
• Condition: neu

About this title

Synopsis

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. 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. Leon Chua, co-inventor of the CNN, and Tamàs Roska are both highly respected pioneers in the field.

Book Description

This unique undergraduate level textbook is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. The book contains many examples and exercises, including CNN simulator software available via the Internet. Although its focus is on visual computing, the concepts described in the book will be of great interest to those working in other areas of CNN research. Leon Chua, co-inventor of the CNN, and Tamàs Roska are highly respected pioneers in the field.