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Cellular Neural Networks and Visual ...

Chua, Leon O.

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Cellular Neural Networks and Visual Computing : = Foundations and Applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cellular Neural Networks and Visual Computing :/
Reminder of title:	Foundations and Applications.
Author:	Chua, Leon O.
other author:	Roska, Tamas.
Published:	Cambridge :Cambridge University Press, : 2002.,
Description:	410 p.
[NT 15003449]:	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
[NT 15003449]:	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 Eye"; Notes; Bibliography; Exercises; Appendices; Index
Subject:	Neural networks (Computer science). -
Online resource:	http://dx.doi.org/10.1017/CBO9780511754494Click here to view book
ISBN:	9780511754494 (electronic bk.)

Cellular Neural Networks and Visual Computing : = Foundations and Applications.
Chua, Leon O.

Cellular Neural Networks and Visual Computing :Foundations and Applications.[electronic resource]. - Cambridge :Cambridge University Press,2002. - 410 p.

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

This is a unique undergraduate level textbook on Cellular Nonlinear/neural Networks (CNN) technology. The many examples and excercises, including a simulator accessible via the Internet, make this book an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of backgrounds.

Electronic reproduction.

Available via World Wide Web.

Mode of access: World Wide Web.

ISBN: 9780511754494 (electronic bk.)Subjects--Topical Terms:

562982
Neural networks (Computer science).
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA76.87 .C494 2002eb

Dewey Class. No.: 006.32

Cellular Neural Networks and Visual Computing : = Foundations and Applications.
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020 $a 9780521652476 (print)
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100 1 $a Chua, Leon O. $3 534146
245 1 0 $a Cellular Neural Networks and Visual Computing : $b Foundations and Applications. $h [electronic resource].
260 $a Cambridge : $b Cambridge University Press, $c 2002.
300 $a 410 p.
505 0 $a 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
505 8 $a 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 Eye"; Notes; Bibliography; Exercises; Appendices; Index
520 $a This is a unique undergraduate level textbook on Cellular Nonlinear/neural Networks (CNN) technology. The many examples and excercises, including a simulator accessible via the Internet, make this book an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of backgrounds.
533 $a Electronic reproduction. $n Available via World Wide Web.
538 $a Mode of access: World Wide Web.
650 4 $a Neural networks (Computer science). $3 562982
655 7 $a Electronic books. $2 lcsh $3 542853
700 1 $a Roska, Tamas. $3 1086087
710 2 $a Ebooks Corporation. $3 1314793
776 1 $z 9780521652476
856 4 0 $z Click here to view book $u http://dx.doi.org/10.1017/CBO9780511754494