Table 5 Architectures of our highest-performing MLP and RBF networks
From: Analysis of risk factor domains in psychosis patient health records
Network | MLP | RBF |
|---|---|---|
Input Layer | Â | Â |
Nodes | 512 | 512 |
Dropout | 0.2 | 0.2 |
Activation | ReLU | ReLU |
Hidden Layer | Â | Â |
Nodes | 250 | 700 |
Dropout | 0.5 | 0.0 |
Activation | ReLU | RBF |
Output Layer | Â | Â |
Nodes | 7 | 7 |
Activation | Sigmoid | Linear |
Optimizer | Adam | Adam |
Loss Function | Categorical Cross Entropy | Mean Squared Error |
Training Epochs | 60 | 50 |
Batch Size | 128 | 128 |