Research Article
The Evaluation on the Credit Risk of Enterprises with the CNN-LSTM-ATT Model
Table 3
The parameter setting of the CNN-LSTM-ATT model.
| Parameter | Meaning of parameter | Value of parameter |
| time_series | The step length | 20 | behavior_num | Number of behavioral indexes | 14 | iB-LSTM_units | Number of neurons for LSTM | 64 | Kernel_size1 | The size of the convolution kernel for convolution layer 1 | 1 × 3 | Kernel_size1 | The size of the convolution kernel for convolution layer 2 | 3 × 3 | Pool | Pooling method | Max | Stride | Length of pooling or convolutional | 1 | Dropout | Rate of LSTM dropout | 0.3 | batch_size | The size of batch | 128 | Epoch | Number of iterations | 20 | Optimizer | The optimizer | SGD | Learning rate | The learning rate | 0.0001 |
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