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FPGA Implementations of Neural Networks

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Cover of 'FPGA Implementations of Neural Networks'

Table of Contents

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    Book Overview
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    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 8: Self Organizing Feature Map for Color Quantization on FPGA
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Chapter title
Self Organizing Feature Map for Color Quantization on FPGA
Chapter number 8
Book title
FPGA Implementations of Neural Networks
Published by
Springer, Boston, MA , January 2006
DOI 10.1007/0-387-28487-7_8
Book ISBNs
978-0-387-28485-9, 978-0-387-28487-3
Authors

Chip-Hong Chang, Menon Shibu, Rui Xiao, Chang, Chip-Hong, Shibu, Menon, Xiao, Rui

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