Table 3.
Epoch | DCNN-FuzzyWOA | DCNN-PSO | DCNN-GA | LeNet-5 | ||||
---|---|---|---|---|---|---|---|---|
Accuracy | STD | Accuracy | STD | Accuracy | STD | Accuracy | STD | |
1 | 91.44 | N/A | 89.71 | 0.48 | 81.08 | 0.11 | 77.24 | 0.71 |
2 | 91.94 | N/A | 90.08 | 0.22 | 82.05 | 0.24 | 78.41 | 0.23 |
3 | 92.09 | N/A | 90.89 | 0.45 | 83.40 | 0.13 | 78.99 | 0.41 |
4 | 92.73 | N/A | 91.53 | 0.43 | 85.66 | 0.12 | 79.66 | 0.95 |
5 | 93.51 | N/A | 92.66 | 0.34 | 86.91 | 0.35 | 80.11 | 0.19 |
6 | 93.84 | N/A | 92.99 | 0.38 | 87.25 | 0.16 | 81.25 | 0.33 |
7 | 94.11 | N/A | 93.35 | 0.37 | 88.82 | 0.24 | 82.32 | 0.71 |
8 | 94.62 | N/A | 93.83 | 0.24 | 89.33 | 0.18 | 83.41 | 0.91 |
9 | 94.77 | N/A | 94.16 | 0.33 | 90.14 | 0.16 | 84.53 | 0.15 |
10 | 95.14 | N/A | 94.51 | 0.32 | 90.57 | 0.42 | 85.82 | 0.36 |
11 | 95.87 | N/A | 94.93 | 0.31 | 91.27 | 0.16 | 86.28 | 0.37 |
12 | 96.29 | N/A | 95.10 | 0.30 | 91.89 | 0.30 | 87.23 | 0.26 |
13 | 96.71 | N/A | 95.65 | 0.29 | 92.51 | 0.21 | 89.51 | 0.83 |
14 | 96.64 | N/A | 96.27 | 0.44 | 93.34 | 0.39 | 90.19 | 0.31 |
15 | 97.88 | N/A | 96.69 | 0.23 | 93.97 | 0.17 | 91.50 | 0.66 |
16 | 98.07 | N/A | 97.04 | 0.22 | 94.43 | 0.41 | 92.08 | 0.47 |
17 | 98.60 | N/A | 97.80 | 0.19 | 94.82 | 0.26 | 93.61 | 0.62 |
18 | 99.13 | N/A | 98.13 | 0.67 | 95.60 | 0.18 | 94.33 | 0.59 |
19 | 99.72 | N/A | 98.61 | 0.12 | 96.52 | 0.33 | 94.91 | 0.51 |
20 | 100 | N/A | 98.76 | 0.09 | 96.71 | 0.10 | 95.14 | 0.13 |