Research Article
SingleNet: A Lightweight Convolutional Neural Network for Safety Detection of an Industrial Control System
Table 4
Comparison table of experimental results of the comparison algorithms on the three datasets.
| | Datasets | Algorithms | Accuracy | Training time | Model size |
| | Oil depot dataset | SingleNet | 98.4% | 1 min 26 s | 1.60 MB | | SqueezeNet | 91.4% | 50 min 22 s | 2.65 MB | | MobileNet | 91.0% | 1 h 0 min 32 s | 12.4 MB | | ShuffleNet | Not convergence | — | — |
| | Batadal dataset | SingleNet | 98.4% | 1 min 28 s | 1.60 MB | | SqueezeNet | 0 | 8 min 1 s | 2.02 MB | | MobileNet | 97.7% | 13 min 57 s | 12.4 MB | | ShuffleNet | Not convergence | — | — |
| | Mississippi dataset | SingleNet | 98.2% | 1 min 29 s | 1.61 MB | | SqueezeNet | 97.6% | 6 min 48 s | 2.66 MB | | MobileNet | 89.0% | 13 min 25 s | 12.4 MB | | ShuffleNet | Not convergence | — | — |
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