Research Article
Strength Model of Cemented Filling Body Based on a Neural Network Algorithm
Table 4
Synaptic weights of the neural network model.
| | Unit | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| | γ1 | 44.1089 | −30.2057 | −41.4072 | 13.1931 | −60.0177 | 5.1839 | −18.3355 | | γ2 | 1.4867 | 1.4027 | 15.5618 | −25.9155 | −9.3966 | −16.9124 | 22.0916 | | γ3 | 42.9247 | −47.2059 | 55.4194 | −59.1347 | 31.3575 | 64.5693 | 39.1561 | | Threshold | −19.7948 | 17.7550 | −18.1399 | 29.7370 | 4.5404 | −4.3056 | −21.3888 |
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