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FPGA Implementations of Neural Networks
FPGA Implementations of Neocognitrons
other
Author(s):
Alessandro Noriaki Ide
,
José Hiroki Saito
Publication date
(Print):
2006
Publisher:
Springer US
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Neocognitron: A new algorithm for pattern recognition tolerant of deformations and shifts in position
Kunihiko Fukushima
,
Sei Miyake
(1982)
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PipeRench: a reconfigurable architecture and compiler
M. Budiu
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S.C. Goldstein
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H. Schmit
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(2000)
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MorphoSys: an integrated reconfigurable system for data-parallel and computation-intensive applications
H Singh
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Guangming Lu
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F.J. Kurdahi
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(2000)
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Author and book information
Book Chapter
Pages
: 197-224
DOI:
10.1007/0-387-28487-7_7
SO-VID:
746df756-8af3-49e8-94fe-c9f2b7958a38
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Book chapters
pp. 1
FPGA Neurocomputers
pp. 37
On the Arithmetic Precision for Implementing Back-Propagation Networks on FPGA: A Case Study
pp. 63
FPNA: Concepts and Properties
pp. 103
FPNA: Applications and Implementations
pp. 137
Back-Propagation Algorithm Achieving 5 Gops on the Virtex-E
pp. 167
FPGA Implementation of Very Large Associative Memories
pp. 197
FPGA Implementations of Neocognitrons
pp. 225
Self Organizing Feature Map for Color Quantization on FPGA
pp. 247
Implementation of Self-Organizing Feature Maps in Reconfigurable Hardware
pp. 271
FPGA Implementation of a Fully and Partially Connected MLP
pp. 297
FPGA Implementation of Non-Linear Predictors
pp. 325
The REMAP Reconfigurable Architecture: A Retrospective
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