Research Article
Modelling and Output Power Estimation of a Combined Gas Plant and a Combined Cycle Plant Using an Artificial Neural Network Approach
Table 5
Hidden layers’ size impact of the BR training algorithm.
| Hidden layers | Training performance | Validation performance | Training regression | Validation regression | Test regression | Stopping criterion | Iteration | Best epoch |
| 10 | 15.787 | 16.984 | 0.973 | 0.970 | 0.971 | Maximum | 307 | 306 | 20 | 15.294 | 16.852 | 0.974 | 0.000 | 0.973 | Maximum | 866 | 865 | 50 | 13.921 | 13.631 | 0.975 | 0.000 | 0.976 | Maximum epochs | 1000 | 1000 | 100 | 14.993 | 0.000 | 0.973 | 0.000 | 0.976 | Maximum epochs | 1000 | 1000 | 200 | 14.866 | 0.000 | 0.974 | 0.000 | 0.970 | Validation stops | 377 | 376 | 500 | 13.185 | 0.000 | 0.975 | 0.000 | 0.975 | Maximum epochs | 1000 | 1000 |
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