Research Article
Risk Prediction by Using Artificial Neural Network in Global Software Development
Table 4
Comparison of LM, SCG, and BR of time-related risks.
| | Levenberg–Marquardt | Scaled Conjugate Gradient | Bayesian Regularization |
| Epoch | 5 iteration | 19 iteration | 150 iteration | Processing | 0 : 00 : 00 | 0 : 00 : 00 | 0 : 00 : 02 | Performance | 8.27 | 8.71 | 8.1 | Gradient | 0 | 3.16 | 0.0555 | MU | 0 | | 5.00 E+10 | MSE (validation) | 8.02 | 9.08 | 2.157 | R (validation) | 0.85 | 0.84 | 0.9245 | MSE (testing) | 6.90 | 11.25 | 7.47 | R (testing) | 0.88 | 0.88 | 0.89 |
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