Research Article
A Prediction Method for Floor Water Inrush Based on Chaotic Fruit Fly Optimization Algorithm–Generalized Regression Neural Network
Table 2
Original data pertaining to influencing factors.
| Serial no. | Water pressure (MPa) | Mining height (m) | Aquifuge thickness (m) | Fault throw (m) | Dip angle of coal seams (°) | Distance from a fault to a working face (m) | Water-inrush level |
| 1 | 1.82 | 0.8 | 26.39 | 4 | 12 | 16 | I | 2 | 1.65 | 1.6 | 25.85 | 50 | 17 | 90 | II | 3 | 1 | 0.9 | 22.33 | 2 | 13 | 16 | II | 4 | 2.88 | 1 | 17.68 | 1.3 | 20 | 0 | II | 5 | 2.01 | 8 | 28 | 0.6 | 18 | 10 | III | 6 | 1.91 | 8 | 43 | 1.5 | 11 | 2 | III | 7 | 1.33 | 0.85 | 36.28 | 0.8 | 7 | 62 | I | 8 | 0.95 | 1.45 | 26.89 | 1 | 6 | 55 | I | 9 | 0.92 | 1.4 | 33.61 | 0.5 | 8 | 0 | I | 10 | 0.34 | 0.9 | 32.65 | 22 | 6 | 6 | I | 11 | 1.06 | 2 | 27.79 | 0.46 | 7 | 21 | I | 12 | 0.83 | 2.85 | 26.56 | 0.7 | 12 | 6 | I | 13 | 2 | 2.81 | 30 | 1.5 | 18 | 12 | IV | 14 | 1.8 | 1.9 | 23 | 0 | 15 | 17 | IV | 15 | 1.7 | 2.8 | 10 | 5 | 17 | 10 | II | 16 | 0.6 | 1.1 | 17 | 2 | 19 | 6 | I | 17 | 2.1 | 1.6 | 59.5 | 3.5 | 10 | 39 | I | 18 | 2.8 | 2.75 | 69.17 | 11.7 | 12 | 36 | I | 19 | 2.8 | 2.55 | 66.11 | 16 | 12 | 29 | I | 20 | 1.3 | 1.7 | 30 | 4.9 | 5 | 21 | II | 21 | 1.08 | 0.9 | 16.5 | 3.2 | 7 | 7 | II | 22 | 1.01 | 0.9 | 16.5 | 3.2 | 14 | 75 | II | 23 | 2.01 | 8 | 28 | 0.6 | 18 | 10 | II | 24 | 1.91 | 8 | 43 | 1.5 | 11 | 2 | I | 25 | 2.55 | 8 | 50 | 4 | 13 | 10 | I | 26 | 2.35 | 2 | 50 | 100 | 16 | 153 | I | 27 | 0.69 | 3.85 | 42 | 32 | 12 | 19 | III | 28 | 1.68 | 5 | 35.3 | 7 | 16.7 | 20 | II | 29 | 1.67 | 5 | 35.4 | 7 | 16.4 | 12.4 | II | 30 | 1.82 | 5 | 34.5 | 7 | 16.5 | 0 | II | 31 | 1.75 | 5 | 34.6 | 7 | 13 | 6 | II | 32 | 1.7 | 5 | 34.8 | 7 | 12.5 | 12 | IV | 33 | 1.77 | 5 | 35 | 8 | 12 | 95 | I | 34 | 1.67 | 5 | 35.3 | 8 | 10 | 96 | I | 35 | 1.62 | 5 | 36 | 8 | 9 | 103 | I | 36 | 1.74 | 5 | 34.1 | 7 | 20 | 27 | II | 37 | 1.75 | 5 | 33.7 | 7 | 13 | 24 | II | 38 | 1.82 | 5 | 33.6 | 7 | 13.4 | 32 | II | 39 | 1.87 | 5 | 33.6 | 7 | 11 | 44 | I | 40 | 1.84 | 5 | 33.8 | 7 | 11 | 55 | I | 41 | 1.79 | 5 | 34 | 8 | 11.5 | 53 | III | 42 | 1.77 | 5 | 34.2 | 8 | 10.7 | 45 | III | 43 | 1.75 | 5 | 34.5 | 8 | 10.5 | 44.8 | II | 44 | 1.7 | 5 | 34.8 | 8 | 13 | 51 | II | 45 | 1.82 | 5 | 33.1 | 7 | 12 | 77 | I | 46 | 1.87 | 5 | 32.6 | 7 | 17 | 74 | II | 47 | 1.94 | 5 | 32.6 | 7 | 15.5 | 81 | II | 48 | 1.97 | 5 | 32.8 | 7 | 9.5 | 93 | III | 49 | 1.1 | 1.6 | 20 | 15 | 11 | 16 | I | 50 | 4.06 | 2.75 | 65.86 | 10 | 10 | 11 | II | 51 | 3.11 | 2.61 | 44.3 | 3.5 | 11 | 12 | II | 52 | 2.7 | 2.55 | 66.97 | 16 | 12 | 31 | II | 53 | 2.3 | 1.5 | 46.91 | 1 | 11 | 24 | III | 54 | 1.91 | 1.5 | 43.11 | 1.1 | 8 | 130 | III | 55 | 1.45 | 1.5 | 38.9 | 3 | 13.5 | 27 | IV | 56 | 1.5 | 1.5 | 38.9 | 1.2 | 13.5 | 7 | IV | 57 | 1.78 | 1.5 | 38.9 | 11 | 14 | 36 | II | 58 | 0.74 | 7.5 | 65 | 79 | 11 | 63 | I | 59 | 1.37 | 8 | 50 | 15 | 14 | 15 | I | 60 | 1.45 | 8 | 46 | 2.5 | 15 | 9 | II |
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