Cellular neural networks and visual computing : foundation and applications / Leon O. Chua and Tamáz Roska.

Format:

Book

Author/Creator:

Chua, Leon O., 1936- author.

Roska, T., author.

Language:

English

Subjects (All):

Neural networks (Computer science).

Physical Description:

1 online resource (xi, 396 pages) : digital, PDF file(s).

Edition:

1st ed.

Other Title:

Cellular Neural Networks & Visual Computing

Place of Publication:

Cambridge : Cambridge University Press, 2002.

Language Note:

English

Summary:

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.

Contents:

Cover; Half-title; Title; Copyright; Dedication; Contents; Acknowledgements; 1 Introduction; 2 Notation, definitions, and mathematical foundation; 3 Characteristics and analysis of simple CNN templates; 4 Simulation of the CNN dynamics; 5 Binary CNN characterization via Boolean functions; 6 Uncoupled CNNs: unified theoryand applications; 7 Introduction to the CNN Universal Machine; 8 Back to basics: Nonlinear dynamics and complete stability; 9 The CNN Universal Machine (CNN-UM); 10 Template design tools; 11 CNNs for linear image processing; 12 Coupled CNN with linear synaptic weights

13 Uncoupled standard CNNs with nonlinear synaptic weights14 Standard CNNs with delayed synaptic weights and motion analysis; 15 Visual microprocessors ... analog and digital VLSI implementation of the CNN Universal Machine; 16 CNN models in the visual pathwayand the Bionic EyeŽ; Notes; Bibliography; Exercises; Appendices; Index

Notes:

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Includes bibliographical references (p. 348-360) and index.

ISBN:

1-107-11746-1

0-511-04051-2

1-280-42067-7

9786610420674

0-511-17694-5

0-511-15782-7

0-511-32984-9

0-511-75449-3

1-60119-735-7

0-511-04825-4

OCLC:

475915400