Research Article
Cost-Sensitive Radial Basis Function Neural Network Classifier for Software Defect Prediction
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 dr | 0.5 |
|
|