Research Article
Artificial Neural Networks Investigation of Indentation Force Effects on Nano- and Microhardness of Dual Phase Steels
Table 5
Input parameters range for trained ANN.
| | Input parameters | Case 1 | Case 2 | Case 3 | Case 4 | Case 5 |
| | F grain size (µm) | | 3.2 | 2.2 | | 1.1 | | M grain size (µm) | | | 1.2 | 0.93 | | | MVF (%) | 26 | | | 24 | 26 | | Nanoforce (mN) | 3 | 3 | | | | | Microforce (mN) | 18000 | 3000 | | | |
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