Research Article
Artificial Neural Networks Investigation of Indentation Force Effects on Nano- and Microhardness of Dual Phase Steels
Table 2
Range of 18 training parameters for microhardness.
| | | Training parameters | Min | Max | Avr. | Std. Dev. |
| |
Input | F grain size (µm) | 0.7 | 3.9 | 2.08 | 1.5 | | M grain size (µm) | 0.82 | 1.4 | 1.05 | 0.28 | | MVF (%) | 22 | 34 | 25.78 | 4.22 | | Force (mN) | 20 | 20000 | 4629 | 7279 |
| |
Target | Microhardness (Gpa) | 2.53 | 4.02 | 3.07 | 0.41 | | Microhardness tolerance (Gpa) | 0.05 | 0.77 | 0.27 | 0.22 |
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