Table 3 Parameters of the proposed deep neural model.
Parameters | Parametric values |
|---|---|
Learning rate | 0.2 |
Number of epochs | Until the network settles at convergence criterion |
Convergence criterion | 10–6 |
Loss function (mean square error) | \(\sum\limits_{t = 1}^{n} {\left( {y_{t} - O{}_{t}} \right)^{2} }\) |
Learning rule | Gradient Descent learning rule |
Optimizer | Ant colony optimizer |
Activation function | Gaussian function |
Number of deep radial basis layers | 5 |
Batch size | 40 samples |