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  1. Home
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  3. Cellular Neural Networks and Visual Computing
  • Cited by 421
Publisher:
Cambridge University Press
Online publication date:
May 2010
Print publication year:
2002
Online ISBN:
9780511754494
DOI:
https://doi.org/10.1017/CBO9780511754494
Subjects:
Engineering, Computer Hardware, Architecture and Distributed Computing, Computer Science, Image Processing and Machine Vision
Information

Book description

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.

Reviews

"...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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