FPGA Implementations of Neural Networks

FPGA Implementations of Neural Networks edited by Amos R. Omondi, Jagath C. Rajapakse.

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 attr...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Omondi, Amos R. (Editor), Rajapakse, Jagath C. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Springer eBook Collection.
Subjects:
Electronic circuits.
Computer science.
Engineering design.
Special purpose computers.
Electrical engineering.
Microprocessors.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • FPGA Neurocomputers
  • On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study
  • FPNA: Concepts and Properties
  • FPNA: Applications and Implementations
  • Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E
  • FPGA Implementation of Very Large Associative Memories
  • FPGA Implementations of Neocognitrons
  • Self Organizing Feature Map for Color Quantization on FPGA
  • Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware
  • FPGA Implementation of a Fully and Partially Connected MLP
  • FPGA Implementation of Non-Linear Predictors
  • The REMAP Reconfigurable Architecture: A Retrospective.

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