Research Article
[Retracted] A Mobile Intelligent Mine Platform with a Hybrid Fuzzy NN and ATT-CNN Prewarning Model
Table 3
Results of the CGO risk prediction based on the neural network model network mode.
| No. | v1 | v2 | v3 | v4 | Output | Predicted level of danger |
| a1 | 0.0038 | 0.9764 | 0.0012 | -0.0026 | 0100 | Medium | a2 | 0.0034 | 1.0084 | 0.0107 | -0.0231 | 0100 | Medium | a3 | -0.018 | -0.026 | 0.9935 | 0.0985 | 0010 | General | a4 | 0.0186 | 0.0429 | 0.9788 | -0.075 | 0010 | General | a5 | 1.0213 | -0.085 | 0.0386 | -0.0703 | 1000 | Serious | a6 | 0.9901 | -0.006 | -0.005 | 0.017 | 1000 | Serious | a7 | 1.0058 | 0.0254 | 0.011 | -0.0002 | 1000 | Serious | a8 | 0.9841 | 0.0646 | -0.0438 | 0.0498 | 1000 | Serious | a9 | -0.003 | 1.0042 | -0.0083 | 0.0258 | 0100 | Medium | a10 | -0.013 | 0.9877 | 0.0115 | 0.0238 | 0100 | Medium | a11 | 0.0075 | 0.0035 | 0.0103 | 0.9341 | 0001 | Smaller | a12 | 0.0029 | 0.0011 | 0.004 | 1.0321 | 0001 | Smaller | a13 | -4-04 | 0.0036 | -0.0033 | 0.9884 | 0001 | Smaller |
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