Implentation des réseaux de neurones sur un circuit reconfigurable de type FPGA
| dc.contributor.author | Benlakehal, Imen | |
| dc.date.accessioned | 2019-01-17T10:06:09Z | |
| dc.date.available | 2019-01-17T10:06:09Z | |
| dc.date.issued | 2017 | |
| dc.description.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 | ar |
| dc.description.sponsorship | Megri Abderahim Fayçal | ar |
| dc.identifier.uri | http://hdl.handle.net/123456789/8115 | |
| dc.language.iso | fr | ar |
| dc.publisher | Université Larbi Ben M'hidi | ar |
| dc.title | Implentation des réseaux de neurones sur un circuit reconfigurable de type FPGA | ar |
| dc.type | Other | ar |