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The following is a supplement to the article "Extrusion Die Design: A New Methodology for Experimental Design as a Precursor to Neural Networks" by Bhavin V. Mehta et al., which is as part of JOM-e, 51 (9) (1999). |
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The following is a supplement to the article "Extrusion Die Design: A New Methodology for Experimental Design as a Precursor to Neural Networks" by Bhavin V. Mehta et al., which is as part of JOM-e, 51 (9) (1999). |
| Table VIII. Error Indicators Results for the Training and Testing Sets | ||
|---|---|---|
| For the Training Set | Before the D.O.E. | After the D.O.E. |
| Average Error | -0.0409 | -0.0149 |
| Average Absolute Error | 1.8647 | 2.2138 |
| Average Percentage Error | 1.3655 | 1.4879 |
| Mean Square Error | 0.8174 | 0.8552 |
| Root Mean Square Error | 10.3798 | 12.1502 |
| Maximum Absolute Error | -6.3547 | -5.4214 |
| For the Testing Set | Before the D.O.E. | After the D.O.E. |
| Average Error | -0.0785 | -0.0391 |
| Average Absolute Error | 1.6939 | 2.0887 |
| Average Percentage Error | 1.3015 | 1.4452 |
| Mean Square Error | 0.7942 | 0.8507 |
| Root Mean Square Error | 10.3798 | 12.1465 |
| Maximum Absolute Error | -8.7345 | -8.0900 |
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