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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). |
|
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 IX. A Comparison of Error Indicators Between the Output of Two Different DOE Models and the NN | |||
|---|---|---|---|
| DOE | NN | DOE(2) | |
| Avg. Error | -0.5296 | -0.1711 | -0.4848 |
| MSE | 6.8264 | 1.88980 | 6.8000 |
| RMSE | 2.6127 | 1.3747 | 2.6077 |
| Abs. Err. | 1.8871 | 0.8431 | 1.8668 |
| Max. A.E. | 13.9267 | 10.1014 | 14.0047 |
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