Research Article
A CNN-LSTM-Based Model to Forecast Stock Prices
Table 2
Parameter setting of CNN-LSTM.
| Parameters | Value |
| Convolution layer filters | 32 | Convolution layer kernel_size | 1 | Convolution layer activation function | tanh | Convolution layer padding | Same | Pooling layer pool_size | 1 | Pooling layer padding | Same | Pooling layer activation function | Relu | Number of hidden units in LSTM layer | 64 | LSTM layer activation function | tanh | Time_step | 10 | Batch_size | 64 | Learning rate | 0.001 | Optimizer | Adam | Loss function | mean_absolute_error | Epochs | 100 |
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