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FPGA Implementations of Neural Networks

Overview of attention for book
Cover of 'FPGA Implementations of Neural Networks'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 FPGA Neurocomputers
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    Chapter 2 On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study
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    Chapter 3 FPNA: Concepts and Properties
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    Chapter 4 FPNA: Applications and Implementations
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    Chapter 5 Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E
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    Chapter 6 FPGA Implementation of Very Large Associative Memories
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    Chapter 7 FPGA Implementations of Neocognitrons
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    Chapter 8 Self Organizing Feature Map for Color Quantization on FPGA
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    Chapter 9 Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware
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    Chapter 10 FPGA Implementation of a Fully and Partially Connected MLP
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    Chapter 11 FPGA Implementation of Non-Linear Predictors
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    Chapter 12 The REMAP Reconfigurable Architecture: A Retrospective
Attention for Chapter 1: FPGA Neurocomputers
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47 Mendeley
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Chapter title
FPGA Neurocomputers
Chapter number 1
Book title
FPGA Implementations of Neural Networks
Published by
Springer, Boston, MA , January 2006
DOI 10.1007/0-387-28487-7_1
Book ISBNs
978-0-387-28485-9, 978-0-387-28487-3
Authors

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

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 7 15%
Researcher 6 13%
Student > Bachelor 4 9%
Other 3 6%
Other 5 11%
Unknown 12 26%
Readers by discipline Count As %
Engineering 23 49%
Computer Science 4 9%
Neuroscience 2 4%
Unspecified 1 2%
Physics and Astronomy 1 2%
Other 3 6%
Unknown 13 28%

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