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Cellular Neural Networks and Visual ...

Roska, Tamas.

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

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Cellular Neural Networks and Visual Computing :/
其他題名:	Foundations and Applications.
作者:	Chua, Leon O.
其他作者:	Roska, Tamas.
出版者:	Cambridge :Cambridge University Press, : 2002.,
面頁冊數:	410 p.
標題:	Neural networks (Computer science). -
電子資源:	Click 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:

263527
Neural networks (Computer science).
Index Terms--Genre/Form:

96803
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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245 1 0 $a Cellular Neural Networks and Visual Computing : $b Foundations and Applications. $h [electronic resource].
260 $a Cambridge : $c 2002. $b Cambridge University Press,
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 263527
655 7 $a Electronic books. $2 local. $3 96803
700 1 $a Roska, Tamas. $3 279036
710 2 $a Ebooks Corporation. $3 197505
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856 4 0 $z Click here to view book $u http://ebooks.cambridge.org/ebook.jsf?bid=CBO9780511754494

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