Research Article
An Intelligent Prediction Method of the Karst Curtain Grouting Volume Based on Support Vector Machine
Table 1
The data set for training and testing.
| | Group number | (min) | (m) | | (MPa) | | The KCGV | Notes | | | (L/min) | (L/min) | Actual value (L/m) | Predicted value (L/m) |
| | 1 | 81 | 30 | 3 | 1 | 3.5 | 103.5 | 16.5 | 150.96 | — | The training samples | | 2 | 81 | 20 | 3 | 1 | 0.8 | 124.5 | 5.1 | 238.79 | — | | 3 | 65 | 30 | 5 | 2 | 5 | 91.6 | 13.7 | 110.63 | — | | 4 | 41 | 30 | 5 | 5 | 3.5 | 31.5 | 10.3 | 31.76 | — | | 5 | 71 | 30 | 5 | 2 | 3.5 | 122.1 | 13.4 | 124.07 | — | | 6 | 50 | 30 | 5 | 5 | 5 | 48.6 | 13.6 | 43.74 | — | | 7 | 85 | 30 | 5 | 2 | 3 | 95.2 | 11.5 | 152.9 | — | | 8 | 14 | 23.2 | 0.5 | 0.5 | 3.2 | 22.6 | 20.5 | 13.12 | — | | 9 | 41 | 30 | 5 | 3 | 2.5 | 31.5 | 20.7 | 35.58 | — | | 10 | 56 | 30 | 5 | 5 | 3.5 | 45.1 | 20.4 | 57.32 | — | | 11 | 41 | 30.61 | 5 | 3 | 5 | 31.1 | 17.4 | 34.18 | — | | 12 | 55 | 30 | 5 | 5 | 4 | 64.5 | 16.2 | 65.46 | — | | 13 | 85 | 20 | 5 | 1 | 0.8 | 98.8 | 10.9 | 205.94 | — | | 14 | 41 | 31.7 | 5 | 5 | 1.5 | 32.1 | 19.5 | 34.12 | — | | 15 | 41 | 30 | 5 | 5 | 4.5 | 42.3 | 14.8 | 34.9 | — | | 16 | 66 | 30 | 5 | 2 | 2.5 | 99.1 | 15.4 | 105.89 | — | | 17 | 13 | 25.3 | 0.5 | 0.5 | 3.2 | 18 | 16.7 | 8.68 | — | | 18 | 65 | 30.5 | 5 | 2 | 5 | 89.8 | 12.5 | 107.25 | — | | 19 | 50 | 35.5 | 5 | 3 | 1.5 | 57.8 | 12.8 | 42.5 | — | | 20 | 65 | 30 | 5 | 2 | 5 | 96.1 | 14.4 | 101.47 | — | | 21 | 12 | 27.7 | 0.5 | 0.5 | 3.2 | 21.3 | 22.1 | 9.39 | — | | 22 | 45 | 30.4 | 5 | 5 | 5 | 54.5 | 14.2 | 43.07 | — | | 23 | 65 | 30 | 5 | 2 | 5 | 108.2 | 16.5 | 115.23 | — | | 24 | 45 | 30 | 5 | 3 | 2.5 | 55.2 | 10.5 | 41.16 | — | | 25 | 51 | 30.88 | 5 | 2 | 5 | 59.1 | 10.1 | 45.91 | — | | 26 | 66 | 30.37 | 5 | 2 | 5 | 110.1 | 13.4 | 107.62 | — | | 27 | 66 | 30 | 5 | 2 | 1.5 | 100.5 | 16.6 | 108.22 | — | | 28 | 65 | 30.5 | 5 | 2 | 5 | 89.8 | 12.8 | 106.76 | — | | 29 | 81 | 30 | 5 | 2 | 2.5 | 104.6 | 10.1 | 144.52 | — | | 30 | 66 | 30 | 5 | 2 | 3.5 | 109.1 | 13.7 | 109.29 | — | | 31 | 12 | 21.5 | 0.5 | 0.5 | 3.2 | 18.1 | 14.4 | 8.94 | — | | 32 | 66 | 19 | 5 | 2 | 0.8 | 80.5 | 13.8 | 147.99 | — | | 33 | 82 | 30 | 5 | 2 | 2.5 | 82.1 | 12.4 | 124.9 | — | | 34 | 80 | 30 | 5 | 2 | 1.5 | 75.6 | 10 | 112.31 | — | | 35 | 47 | 30 | 5 | 3 | 2.5 | 33.6 | 15.4 | 38.29 | — | | 36 | 85 | 19.5 | 5 | 1 | 0.8 | 56.2 | 8.6 | 129.77 | — | | 37 | 67 | 30 | 5 | 2 | 1.5 | 61.4 | 2.5 | 62.06 | — | | 38 | 46 | 30 | 5 | 3 | 3 | 58.4 | 10.9 | 43.06 | — | | 39 | 56 | 30 | 5 | 5 | 2.5 | 43.1 | 17.4 | 55.44 | — | | 40 | 46 | 30 | 5 | 5 | 2 | 53.4 | 6.5 | 38.49 | — | | 41 | 76 | 30 | 5 | 2 | 3.5 | 112.4 | 13.2 | 142.88 | — | | 42 | 61 | 33.8 | 5 | 2 | 1.5 | 56.3 | 14.3 | 60.89 | — | | 43 | 50 | 30 | 5 | 3 | 3 | 43.4 | 14.5 | 49.79 | — | | 44 | 55 | 30 | 5 | 2 | 1.5 | 112.4 | 15 | 99.08 | — | | 45 | 65 | 30 | 5 | 2 | 3.5 | 98.2 | 15.8 | 107.53 | 108.96 | The test samples | | 46 | 47 | 30 | 5 | 5 | 3.5 | 58.9 | 13.1 | 43.37 | 44.06 | | 47 | 65 | 30.5 | 5 | 2 | 5 | 110.2 | 16.8 | 112.51 | 110.66 | | 48 | 58 | 30.96 | 5 | 3 | 5 | 53.1 | 13.1 | 55.7 | 58.06 | | 49 | 41 | 30 | 5 | 3 | 3.5 | 33.1 | 19.3 | 34.85 | 38.01 | | 50 | 65 | 30 | 5 | 2 | 3.5 | 92.6 | 12.3 | 109.97 | 112.34 | | 51 | 50 | 30 | 5 | 3 | 3 | 55.4 | 11.8 | 52.71 | 47.91 | | 52 | 72 | 30 | 3 | 1 | 2.5 | 99.8 | 18.1 | 128.62 | 124.31 | | 53 | 50 | 30.3 | 5 | 5 | 1.5 | 67.5 | 11.6 | 54.32 | 58.15 | | 54 | 65 | 30 | 5 | 2 | 5 | 90.6 | 13.3 | 109.96 | 105.73 | | 55 | 65 | 30 | 5 | 2 | 3.5 | 90.8 | 12.5 | 110.09 | 111.29 | | 56 | 48 | 30 | 5 | 5 | 5 | 55.6 | 10.6 | 42.21 | 53.66 |
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