FPGA Implementations of Neural Networks / Edition 1

FPGA Implementations of Neural Networks / Edition 1

by Amos R. Omondi
     
 

ISBN-10: 0387284850

ISBN-13: 9780387284859

Pub. Date: 04/21/2006

Publisher: Springer US

During the 1980s and early 1990s there was significant 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

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Overview

During the 1980s and early 1990s there was significant 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 sufficiently 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 artificial-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.

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Product Details

ISBN-13:
9780387284859
Publisher:
Springer US
Publication date:
04/21/2006
Edition description:
2006
Pages:
360
Product dimensions:
6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

1FPGA neurocomputers1
2Arithmetic precision for implementing BP networks on FPGA : a case study37
3FPNA : concepts and properties63
4FPNA : applications and implementations103
5Back-propagation algorithm achieving 5 GOPS on the Virtex-E137
6FPGA implementation of very large associative memories167
7FPGA implementations of neocognitrons197
8Self organizing feature map for color quantization on FPGA225
9Implementation of self-organizing feature maps in reconfigurable hardware247
10FPGA implementation of a fully and partially connected MLP271
11FPGA implementation of non-linear predictors297
12The REMAP reconfigurable architecture : a retrospective325

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