Research Article
Predicting Subcontractor Performance Using Web-Based Evolutionary Fuzzy Neural Networks
| Technique | Parameter | Value |
| GAs | Population size | 50 | Crossover rate | 0.5 | Mutation rate | 0.01 | Terminal condition | 5000 iterations |
| FL | Number of fuzzy sets | 5 | Defuzzification function | Average output method | MF shape | Trapezoidal shape |
| NNs | Connection weight | 0.0–1.0 | Bias | −1–0 | Activation function | Heaviside | Hidden layers | 1–6 | Hidden neurons | 1–6 |
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