Research Article
Transportation Mode Detection Based on Permutation Entropy and Extreme Learning Machine
Table 4
Running time and accuracy of 1 : 9 data.
| 1 : 9 | Time (s) | Training accuracy | Testing accuracy | Node | Activation function | Training | Testing |
| ELM | 0 | 0.0187 | 51.21% | 44.47% | 50 | Hardlim | ELM | 0.0187 | 0.0374 | 56.53% | 49.12% | 100 | ELM | 0.0655 | 0.1186 | 63.04% | 52.39% | 300 | ELM | 0.1747 | 0.2028 | 69.66% | 58.72% | 500 | ELM | 0.5117 | 0.2995 | 77.76% | 62.31% | 800 | ELM | 0.8268 | 0.3682 | 78.55% | 60.61% | 1000 | ELM | 1.3229 | 0.4274 | 79.93% | 58.87% | 1200 |
| ELM | 1.2542 | 0.5897 | 70.46% | 62.53% | 800 | Sigmoid | ELM | 1.9282 | 0.6614 | 82.10% | 61.93% | 1000 | ELM | 2.8143 | 0.8018 | 82.75% | 62.27% | 1200 |
| SVM | 0.0886 | 0.2261 | — | 39.984% | — | — |
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