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Parameters of MLPNN-based pain status classifier model.
| Structure from Input Layer to Output Layer | 15-6-6-2 |
|---|---|
| Number of features | 15 |
| Number of hidden layers | 2 |
| Number of hidden neurons on the hidden layers | 6 |
| Learning rate for hidden layers | 0.08 |
| Number of batch size | 104 |
| Number of epoch in the training | 800 |
| Weight decay | 0.00029 |
| Activation function | sigmoid function |
