Research Article
[Retracted] The Use of Deep Learning Model for Effect Analysis of Conventional Friction Power Confinement
Table 1
Structure of neural network for parameter identification based on CNN sassafras model.
| Layered | Convolution layer (1 layer) | Convolution layer (2 layers) | Convolution layer (3 layers) | Convolution layer (4 layers) | Convolution layer (5 layers) | Convolution layer (6 layers) | Convolution layer (7 layers) | Convolution layer (8 layers) |
| Nuclear size | | | | | | | | | Step | 1 | 2 | 1 | 2 | 1 | 2 | 1 | 2 | Layered | Full connection layer (9 layers) | Full connection layer (10 layers) | Full connection layer (11 layers) | Output | Activation function | ReLU | Size | | | | 5 | Classification function | Softmax | Overfitting | Dropout | Dropout | L2 | — | — | — |
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