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. 2023 Jan 18;23(3):1118. doi: 10.3390/s23031118

Table 6.

The influence of main hyperparameter settings on model recognition accuracy.

Hyperparameter Variation Range Recognition Accuracy (%)
Epoch = 2 Epoch = 5 Epoch = 10
learning rate [5 × 10−5, 5 × 10−3] 98.93 99.23 99.86
[1 × 10−4, 1 × 10−2] 98.56 98.99 99.23
[5 × 10−4, 5 × 10−2] 85.5 95.13 98.87
[1 × 10−3, 1 × 10−1] 38.37 68.22 86.57
batch size BZ = 4 67.5 92.33 96.12
BZ = 10 81.5 96.37 98.22
BZ = 15 96.5 97.86 99.51
BZ = 20 97.5 99.21 99.72
kernel number (16, 32, 64) 100 100 100
(32, 64, 128) 99.92 99.86 100
(64, 128, 256) 99.88 98.67 100
(128, 256, 512) 98.65 99.12 100