Research Article
Weighted Domain Transfer Extreme Learning Machine and Its Online Version for Gas Sensor Drift Compensation in E-Nose Systems
Table 6
Classification accuracy of OWDTELM.
| Batch number | Accuracy of OWDTELM (%) | | | | | | | |
| | 81.7 | 82.6 | 83.2 | 88.9 | 95.3 | 94.8 | 98.0 | | 74.9 | 83.0 | 91.4 | 88.8 | 94.6 | 92.4 | 89.3 | | 87.0 | 99.4 | 100 | 100 | 100 | 100 | 100 | | 94.4 | 99.5 | 99.5 | 99.0 | 99.5 | 99.0 | 99.5 | | 83.4 | 89.0 | 95.7 | 95.4 | 98.6 | 97.4 | 98.2 | | 56.8 | 64.2 | 79.3 | 78.7 | 80.8 | 84.7 | 86.5 | | 71.8 | 77.9 | 82.9 | 95.9 | 96.6 | 97.3 | 98.3 | | 92.1 | 93.4 | 95.1 | 98.9 | 99.6 | 99.8 | 100 | | 45.1 | 54.5 | 55.3 | 61.7 | 59.1 | 61.8 | 65.2 |
| Ave. | 76.4 | 82.6 | 86.9 | 98.7 | 91.6 | 91.9 | 92.8 |
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