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Cellular neural networks and visual computing : foundation and applications  Cover Image E-book E-book

Cellular neural networks and visual computing : foundation and applications

Chua, Leon O. 1936- (Author). Roska, T. (Added Author).

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.

Record details

  • ISBN: 0521018633
  • ISBN: 9780521018630
  • ISBN: 9780511329845
  • ISBN: 0511329849
  • ISBN: 9780511176944
  • ISBN: 0511176945
  • ISBN: 9781107117464
  • ISBN: 1107117461
  • ISBN: 661042067X
  • ISBN: 9786610420674
  • ISBN: 9781280420672
  • ISBN: 1280420677
  • ISBN: 9780511157820
  • ISBN: 0511157827
  • ISBN: 0511048254
  • ISBN: 9780511048258
  • ISBN: 0511754493
  • ISBN: 9780511754494
  • ISBN: 9780511040511
  • ISBN: 0511040512
  • ISBN: 9781601197351
  • ISBN: 1601197357
  • Physical Description: 1 online resource (xi, 396 pages) : illustrations
    remote
  • Publisher: Cambridge, UK ; New York, NY : Cambridge University Press, 2002.

Content descriptions

Bibliography, etc. Note: Includes bibliographical references (pages 348-360) and index.
Formatted Contents Note: 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 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) -- 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.
Restrictions on Access Note:
Access restricted to Ryerson students, faculty and staff.
NLC staff and students only.
Language Note:
English.
Source of Description Note:
Print version record.
Subject: Neural networks (Computer science)
Genre: Electronic books.

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