Table 6 Neural network architectures summary.
Architecture | Number of layers | Neurons per layer | Activation functions |
|---|---|---|---|
Architecture 1 | 3 | [10,30,50] | [ReLU, ReLU, Sigmoid] |
Architecture 2 | 4 | [10,20,40] | [ReLU, Tanh, ReLU, Sigmoid] |
Architecture 3 | 5 | [60, 40, 30, 20, 10] | [Sigmoid, ReLU, Tanh, ReLU, Sigmoid] |
