Research Article
Artificial Neural Networks Investigation of Indentation Force Effects on Nano- and Microhardness of Dual Phase Steels
Table 3
Trained ANN specifications according to normalized datasets in range of [ā1ā+1].
| Trained ANNs | Topology | | MSE | MSE | MSE |
| F nanohardness (Gpa) | 20-10-1 | 0.99 | 0.0041 | 0.0015 | 0.0173 | M nanohardness (Gpa) | 40-20-1 | 0.89 | 0.0239 | 0.0925 | 0.3209 | Microhardness (Gpa) | 30-30-1 | 0.93 | 0.0370 | 0.0429 | 0.0631 | F nanohardness tolerance (Gpa) | 20-10-1 | 0.98 | 0.0019 | 0.0338 | 0.0484 | M nanohardness tolerance (Gpa) | 35-20-1 | 0.93 | 0.0043 | 0.1965 | 0.0771 | Microhardness tolerance (Gpa) | 40-20-1 | 0.84 | 0.1014 | 0.2065 | 0.0227 |
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