Implentation des réseaux de neurones sur un circuit reconfigurable de type FPGA
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Date
2017
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Publisher
Université Larbi Ben M'hidi
Abstract
He examined the neural networks of the most important areas of artificial intelligence,
reflecting a significant tangible development in the way human thinking is, and evolution in
this area goes back to many studies that have been in the Area of neural processing and are
simulated by the process solve the problems that arise by following the self-learning processes
that depend on the expertise in the network that achieve the best results.
This work built solidus neural network parallel integrated content, using FPGA to reduce the
content of material used for the design of nerve cell function and so active in the design of
nerve cells.
The work consists of two parts: The first part deals with the use of the Matlab program.
The second part involves the physical implementation of network content using Xilinx
training through its schematic design