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Cellular Neural Networks and Analog VLSI

  • Book
  • © 1998

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Table of contents (7 chapters)

Keywords

About this book

Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area.
Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.

Reviews

`...anyone serious about CNNs should have this book on his or her bookshelf.'
International Journal of Electrical Engineering Education, April 2001

Editors and Affiliations

  • University of California, Berkeley, USA

    Leon O. Chua

  • University of Toronto, Canada

    Glenn Gulak

  • Analogy, Inc., USA

    Edmund Pierzchala

  • Universidad de Sevilla, Spain

    Angel Rodríguez-Vázquez

Bibliographic Information

  • Book Title: Cellular Neural Networks and Analog VLSI

  • Editors: Leon O. Chua, Glenn Gulak, Edmund Pierzchala, Angel Rodríguez-Vázquez

  • DOI: https://doi.org/10.1007/978-1-4757-4730-0

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1998

  • Hardcover ISBN: 978-0-7923-8125-9Published: 28 February 1998

  • Softcover ISBN: 978-1-4419-5030-7Published: 07 December 2010

  • eBook ISBN: 978-1-4757-4730-0Published: 09 March 2013

  • Edition Number: 1

  • Number of Pages: IV, 103

  • Number of Illustrations: 70 b/w illustrations, 1 illustrations in colour

  • Topics: Electrical Engineering, Complex Systems, Computer Science, general, Statistical Physics and Dynamical Systems

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