Table 5.
Evaluation of different variations of LSTM model with sliding window algorithm.
| Optimizer | Neuron count and number of LSTM layers | Activation function | Estimated Root Mean Square Error (RMSE) |
|---|---|---|---|
| SGD | 128, 128, 128 | ReLU, ReLU, sigmoid | 0.0722 |
| Adam | 128, 64 | ReLU, ReLU | 0.0693 |
| Adam | 128 | ReLU | 0.0764 |
| Adam | 32 | ReLU | 0.0877 |