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The training parameters setting with neurofuzzy logic.
| Critical factors for neurofuzzy logic model |
|---|
| Minimization parameters |
| Ridge regression factor:1e−6 |
| Model selection criteria |
| Structural risk minimization (SRM) |
| C1 = 0.8–0.916; C2 = 4.8 |
| Number of set densities:2 |
| Set densities: 2, 3 |
| Adapt nodes: True |
| Max.Inputs per SubModel: 4 |
| Max. nodes per input: 15 |
