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The Resource Cellular neural networks and visual computing : foundation and applications, Leon O. Chua and Tamás Roska

Cellular neural networks and visual computing : foundation and applications, Leon O. Chua and Tamás Roska

Label
Cellular neural networks and visual computing : foundation and applications
Title
Cellular neural networks and visual computing
Title remainder
foundation and applications
Statement of responsibility
Leon O. Chua and Tamás Roska
Creator
Contributor
Subject
Language
eng
Summary
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
Cataloging source
BUF
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Cellular neural networks and visual computing : foundation and applications, Leon O. Chua and Tamás Roska
Label
Cellular neural networks and visual computing : foundation and applications, Leon O. Chua and Tamás Roska
Link
http://libproxy.rpi.edu/login?url=http://app.knovel.com/hotlink/toc/id:kpCNNVCFA1/cellular-neural-networks
Publication
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Bibliography note
Includes bibliographical references (pages 348-360) and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • 5.
  • Binary CNN characterization via Boolean functions
  • 6.
  • Uncoupled CNNs: unified theory and applications
  • 7.
  • Introduction to the CNN Universal Machine
  • 8.
  • Back to basics: Nonlinear dynamics and complete stability
  • 9.
  • The CNN Universal Machine (CNN-UM)
  • 1.
  • 10.
  • Template design tools
  • 11.
  • CNNs for linear image processing
  • 12.
  • Coupled CNN with linear synaptic weights
  • 13.
  • Uncoupled standard CNNs with nonlinear synaptic weights
  • 14.
  • Standard CNNs with delayed synaptic weights and motion analysis
  • Introduction
  • 2.
  • Notation, definitions, and mathematical foundation
  • 3.
  • Characteristics and analysis of simple CNN templates
  • 4.
  • Simulation of the CNN dynamics
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9780511040511&userID=ebsco-test&password=ebsco-test
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3763458'}
Extent
1 online resource (xi, 396 pages)
Form of item
online
Isbn
9780511040511
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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