Research Article
Predictions of Overbreak Blocks in Tunnels Based on the Wavelet Neural Network Method and the Geological Statistics Theory
Table 6
Results of neural network prediction in the Hongfeng tunnel.
| Samples | Orientation | Trace length | Spacing | Actual output | | Joint 1 | Joint 2 | Bedding | | | | |
| 1 | 155.90/82.61 | 57.48/81.87 | 60.69/12.10 | 55.77 | 41.03 | 0.0032 | 0.0326 | 0.0792 | 0.9843 | 2 | 168.53/82.09 | 60.36/82.47 | 65.90/8.69 | 66.10 | 50.74 | 0.0032 | 0.0322 | 0.0899 | 0.9844 | 3 | 157.57/81.38 | 58.77/83.04 | 65.55/14.21 | 60.62 | 43.37 | 0.0032 | 0.0322 | 0.0894 | 0.9844 | 4 | 175.21/82.12 | 61.59/83.45 | 64.11/12.50 | 69.08 | 49.54 | 0.0032 | 0.0322 | 0.0899 | 0.9844 | 5 | 179.22/81.39 | 56.82/82.59 | 60.56/9.44 | 55.34 | 45.32 | 0.0032 | 0.0322 | 0.0899 | 0.9844 |
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