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Published in:
2006 | OriginalPaper | Chapter
FPGA Implementations of Neocognitrons
Authors : Alessandro Noriaki Ide, José Hiroki Saito
Published in: FPGA Implementations of Neural Networks
Publisher: Springer US
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In this chapter it is described the implementation of an artificial neural network in a reconfigurable parallel computer architecture using FPGA’s, named Reconfigurable Orthogonal Memory Multiprocessor (REOMP), which uses
p
2
memory modules connected to
p
reconfigurable processors, in row access mode, and column access mode. It is described an alternative model of the neural network Neocognitron; the REOMP architecture, and the case study of alternative Neocognitron mapping; the performance analysis considering the computer systems varying the number of processors from 1 to 64; the applications; and the conclusions.