Research Article
Prediction Interval Construction for Byproduct Gas Flow Forecasting Using Optimized Twin Extreme Learning Machine
Table 3
Test results in the four benchmark datasets.
| Methods | Index | Case 1 | Case 2 | Case 3 | Case 4 | PICP | PINAW | PINAD | PICP | PINAW | PINAD | PICP | PINAW | PINAD | PICP | PINAW | PINAD |
| Bayesian | Median | 91.00% | 65.78% | 0.79% | 86.00% | 31.37% | 0.44% | 94.50% | 37.90% | 1.49% | 94.00% | 26.50% | 0.11% | STDEV | 1.48% | 0.78% | 0.10% | 1.29% | 0.86% | 0.05% | 0.98% | 1.31% | 0.12% | 1.57% | 0.85% | 0.03% |
| Bootstrap | Median | 88.00% | 62.50% | 0.78% | 92.00% | 29.98% | 0.28% | 91.50% | 36.93% | 1.69% | 92.00% | 24.11% | 0.17% | STDEV | 1.52% | 0.79% | 0.09% | 1.16% | 0.72% | 0.04% | 0.94% | 1.37% | 0.14% | 1.52% | 0.87% | 0.04% |
| Proposed | Median | 91.50% | 62.14% | 0.61% | 93.00% | 29.64% | 0.27% | 91.50% | 30.18% | 1.63% | 92.00% | 22.48% | 0.14% | STDEV | 1.45% | 0.65% | 0.09% | 1.06% | 0.60% | 0.04% | 0.82% | 1.17% | 0.10% | 1.49% | 0.75% | 0.02% |
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