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. 2022 Jun 13;22(12):4459. doi: 10.3390/s22124459

Table 4.

Accuracy and runtime of the models for different epochs.

Architectures Metric Epoch
30 60 90 120 150 180 210 240 270 300
NSBPSO-DCNN Accuracy (%) 91.15 91.88 92.89 94.54 95.84 97.91 98.63 98.88 99.25 99.41
Runtime (s) 74 145 196 275 321 384 462 521 598 681
I-CSA-DCNN Accuracy (%) 90.16 90.89 91.76 93.60 94.79 95.50 96.98 97.95 98.21 98.52
Runtime (s) 91 169 224 296 351 422 498 543 601 709
IG-DCNN Accuracy (%) 89.19 90.47 91.85 92.19 93.59 94.90 96.48 97.43 97.89 98.09
Runtime (s) 101 175 246 296 361 429 514 596 632 723
BWO-DCNN Accuracy (%) 87.72 89.63 90.18 91.85 92.06 92.89 94.73 96.48 97.09 97.43
Runtime (s) 110 185 239 310 389 435 520 599 649 730
ABC-DCNN Accuracy (%) 89.18 90.19 91.08 91.73 92.76 93.09 94.19 94.81 95.12 96.74
Runtime (s) 136 210 269 314 395 452 576 641 709 789
PSO-DCNN Accuracy (%) 84.19 86.81 89.72 91.29 92.18 93.18 93.98 94.10 95.29 96.50
Runtime (s) 115 196 267 32 406 459 534 612 693 743
DCNN Accuracy (%) 78.85 83.49 86.79 89.12 90.13 90.83 91.45 92.71 93.28 94.21
Runtime (s) 159 274 368 406 479 563 631 729 803 876