Review Article
Recognition Algorithm of AE Signal of Rock Fracture Based on Multiscale 1DCNN-BLSTM
Table 1
Multiscale 1DCNN-BLSTM network model parameter.
| | Layer | Type | Output size | Convolution kernel size/step size | Number of neurons | Convolution kernel number | Dropout | Activation function | Pooling layer |
| | 1 | Conv1 | 16 16 | 32 1/1 | — | 16 | 0.6 | SELU | 2 | | 2 | Conv2 | 64 64 | 128 1/1 | — | 64 | 0.6 | SELU | 2 | | 3 | Conv3 | 128 128 | 256 1/1 | | 128 | 0.6 | SELU | 2 | | 4 | ECA | — | — | — | — | — | — | — | | 5 | MCNN | 16 64 | 2 1/1 | — | 64 | 0.6 | SELU | 1 | | 6 | BLSTM | 40 1 | — | (40, 40) | — | — | Tanh | — | | 7 | Dense1 | 100 1 | — | 100 | — | 0.8 | Softmax | — | | 8 | GAP | 100 1 | 100 | | 1 | 0.8 | Softmax | — |
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