Table 6.
Parameters of the proposed ADBBO-RBFNN algorithm.
| Parameters | BBO | Parameters | RBFNN |
|---|---|---|---|
| Habitat size | 40 | Learning rate | 0.2 |
| Habitat modification probability | 1 | Momentum factor | 0.1 |
| Immigration probability bounds per gene | [0, 1] | Number of hidden neurons | 1/2 the number of input neurons |
| Step size for numerical integration | 1 | Maximum iteration | 500 |
| Maximum immigration | 1 | Activation function | Gaussian activation function |
| Migration rate for each island | 1 | Number of output neurons | 1 (defect or defect-free) |
| Mutation probability | 0.005 | ||
| Maximum generation | 500 | ||
| Habitat search dimensional rate d r | 0.5 |