Research Article
Architecture Analysis of an FPGA-Based Hopfield Neural Network
Table 1
Parameters obtained from the experiments.
| Implementation | (Quantity of neurons and stored patterns) | Maximum frequency (MHz) | Maximum output time after clock (ns) | Number of occupied slices |
| 1 | 16—2 | 81.390 | 4.114 | 8% | 2 | 17—2 | 62.530 | 4.114 | 17% | 3 | 18—2 | 56.047 | 4.114 | 18% | 4 | 19—2 | 56.182 | 4.114 | 19% | 5 | 20—2 | 51.635 | 4.114 | 20% | 6 | 21—2 | 51.750 | 4.114 | 21% | 7 | 22—3 | 47.115 | 4.114 | 26% | 8 | 23—3 | 47.124 | 4.114 | 32% | 9 | 24—3 | 43.883 | 4.114 | 34% | 10 | 25—3 | 42.754 | 4.114 | 39% | 11 | 26—3 | 40.069 | 4.114 | 41% | 12 | 27—3 | 40.138 | 4.114 | 45% | 13 | 28—3 | 37.818 | 4.114 | 47% | 14 | 29—4 | 39.200 | 4.114 | 18% | 15 | 30—4 | 36.892 | 4.114 | 18% | 16 | 31—4 | 35.462 | 4.114 | 20% | 17 | 32—4 | 33.553 | 4.114 | 18% |
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