Table 2 Parameter Values for Scalable DNN-Based Indoor Localization
DNN parameter | Value |
|---|---|
Ratio of training data to overall data | 0.90 |
Number of Epochs | 20 |
Batch size | 10 |
SAE hidden layers | 256-128-256 |
SAE activation | Rectified Linear (ReLU) |
SAE Optimizer | ADAM [25] |
SAE loss | Mean Squared Error (MSE) |
Classifier hidden layers | 64-128 |
Classifier activation | ReLU |
Classifier optimizer | ADAM |
Classifier loss | Binary Crossentropy |
Classifier dropout rate | 0.20 |