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FPGA Implementations of Neural Networks

Editors: Omondi, Amos R., Rajapakse, Jagath C. (Eds.)

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About this book

During the 1980s and early 1990s there was signi?cant work in the design and implementation of hardware neurocomputers. Nevertheless, most of these efforts may be judged to have been unsuccessful: at no time have have ha- ware neurocomputers been in wide use. This lack of success may be largely attributed to the fact that earlier work was almost entirely aimed at developing custom neurocomputers, based on ASIC technology, but for such niche - eas this technology was never suf?ciently developed or competitive enough to justify large-scale adoption. On the other hand, gate-arrays of the period m- tioned were never large enough nor fast enough for serious arti?cial-neur- network (ANN) applications. But technology has now improved: the capacity and performance of current FPGAs are such that they present a much more realistic alternative. Consequently neurocomputers based on FPGAs are now a much more practical proposition than they have been in the past. This book summarizes some work towards this goal and consists of 12 papers that were selected, after review, from a number of submissions. The book is nominally divided into three parts: Chapters 1 through 4 deal with foundational issues; Chapters 5 through 11 deal with a variety of implementations; and Chapter 12 looks at the lessons learned from a large-scale project and also reconsiders design issues in light of current and future technology.

Table of contents (5 chapters)

  • FPGA Neurocomputers

    Amos R. Omondi, Jagath C. Rajapakse, Mariusz Bajger

    Pages 1-36

  • On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study

    Medhat Moussa, Shawki Areibi, Kristian Nichols

    Pages 37-61

  • FPNA: Concepts and Properties

    Bernard Girau

    Pages 63-101

  • Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E

    Kolin Paul, Sanjay Rajopadhye

    Pages 137-165

  • Self Organizing Feature Map for Color Quantization on FPGA

    Chip-Hong Chang, Menon Shibu, Rui Xiao

    Pages 225-245

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-0-387-28487-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-0-387-28485-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-1-4419-3942-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
FPGA Implementations of Neural Networks
Editors
  • Amos R. Omondi
  • Jagath C. Rajapakse
Copyright
2006
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-28487-3
DOI
10.1007/0-387-28487-7
Hardcover ISBN
978-0-387-28485-9
Softcover ISBN
978-1-4419-3942-5
Edition Number
1
Number of Pages
XII, 360
Topics