Research Article
A Robust Intelligent Framework for Multiple Response Statistical Optimization Problems Based on Artificial Neural Network and Taguchi Method
Table 2
Experimental data.
| Experimental number | Control variable | Response variable | | | | | | | |
| 1 | −1 | −1 | −1 | −1 | −1 | 14.3 | 4 | 2 | −1 | 0 | 0 | 0 | 0 | 15.7 | 4.3 | 3 | −1 | 1 | 1 | 1 | 1 | 23.2 | 5.6 | 4 | 0 | −1 | 0 | 0 | 0 | 12.1 | 3.7 | 5 | 0 | 0 | 1 | 1 | 1 | 8.7 | 4.9 | 6 | 0 | 1 | −1 | −1 | −1 | 6.5 | 6.1 | 7 | 1 | −1 | 0 | −1 | 1 | 8.99 | 4.2 | 8 | 1 | 0 | 1 | 0 | −1 | 11.8 | 4.3 | 9 | 1 | 1 | −1 | 1 | 0 | 12.4 | 5.3 | 10 | −1 | −1 | 1 | 1 | 0 | 16.2 | 4.6 | 11 | −1 | 0 | −1 | −1 | 1 | 26.9 | 4.1 | 12 | −1 | 1 | 0 | 0 | −1 | 10.5 | 5.3 | 13 | 0 | −1 | 0 | 1 | −1 | 16.9 | 3.9 | 14 | 0 | 0 | 1 | −1 | 0 | 5.06 | 4.7 | 15 | 0 | 1 | −1 | 0 | 1 | 7.08 | 5.4 | 16 | 1 | −1 | 1 | 0 | 1 | 8.76 | 5.2 | 17 | 1 | 0 | −1 | 1 | −1 | 15.1 | 4.6 | 18 | 1 | 1 | 0 | −1 | 0 | 5 | 5.8 |
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