Research Article
Computational Logistics for Container Terminal Handling Systems with Deep Learning
Table 8
Prediction deviation profile of liner berthing time for QRM-LBT-LFO by complete features.
| | Prediction deviation (hours) | Minimum of liners | Maximum of liners | Mean of liners | Median of liners | Mode of liners | SD of liners | Variance of liners | Quantitative proportion of liners (%) |
| | [0, 0.1] | 12.000 | 196.000 | 130.780 | 143.000 | 191.000 | 55.869 | 3121.332 | 62.276 | | (0.1, 0.2] | 7.000 | 161.000 | 67.960 | 58.000 | 29.000 | 49.525 | 2452.738 | 32.362 | | (0.2, 0.3] | 1.000 | 46.000 | 8.8400 | 5.000 | 4.000 | 9.047 | 81.854 | 4.210 | | (0.3, 0.4] | 0.000 | 6.000 | 1.720 | 1.000 | 1.000 | 1.415 | 2.002 | 0.819 | | (0.4, 0.5] | 0.000 | 7.000 | 0.490 | 0.000 | 0.000 | 0.933 | 0.870 | 0.233 | | (0.5, +∞] | 0.000 | 3.000 | 0.210 | 0.000 | 0.000 | 0.668 | 0.446 | 0.100 |
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