Statistical data using three different algorithms for the axial cutting forces
| Algorithm | Number of neurons | Training data | Testing data | ||||
|---|---|---|---|---|---|---|---|
| RMSE | R2 | MEP | RMSE | R2 | MEP | ||
| LM | 5 | 0.030754 | 0.998193 | 4.885096 | 0.041497 | 0.996594 | 6.78182 |
| LM | 6 | 0.032552 | 0.998004 | 5.213814 | 0.038462 | 0.997022 | 6.195043 |
| LM | 7 | 0.030092 | 0.998307 | 4.704558 | 0.042288 | 0.996254 | 6.502323 |
| LM | 8 | 0.030137 | 0.998312 | 4.73555 | 0.039643 | 0.996805 | 5.944426 |
| LM | 9 | 0.030071 | 0.998294 | 4.661344 | 0.039203 | 0.996843 | 6.372841 |
| LM | 10 | 0.030225 | 0.998291 | 4.681807 | 0.040709 | 0.996768 | 6.327074 |
| SCG | 5 | 0.072244 | 0.98999 | 13.101028 | 0.078062 | 0.988798 | 14.309749 |
| SCG | 6 | 0.071665 | 0.988747 | 12.497879 | 0.080576 | 0.986665 | 11.671692 |
| SCG | 7 | 0.063915 | 0.991889 | 11.04579 | 0.075926 | 0.988818 | 13.253753 |
| SCG | 8 | 0.074755 | 0.990294 | 13.831071 | 0.08634 | 0.987303 | 15.132508 |
| SCG | 9 | 0.069396 | 0.990757 | 12.416354 | 0.085645 | 0.985038 | 15.559988 |
| SCG | 10 | 0.068476 | 0.99044 | 12.504556 | 0.080975 | 0.987476 | 15.024751 |
| BR | 5 | 0.047514 | 0.994656 | 7.172896 | 0.054438 | 0.993524 | 8.175147 |
| BR | 6 | 0.051035 | 0.993332 | 7.734509 | 0.053446 | 0.993138 | 8.739134 |
| BR | 7 | 0.033373 | 0.997925 | 5.409292 | 0.041812 | 0.996586 | 6.594196 |
| BR | 8 | 0.042232 | 0.996376 | 6.565598 | 0.048604 | 0.994624 | 7.627173 |
| BR | 9 | 0.045649 | 0.995129 | 6.956058 | 0.057261 | 0.991581 | 8.627781 |
| BR | 10 | 0.080131 | 0.981991 | 14.339792 | 0.088471 | 0.981022 | 15.922456 |
| Algorithm | Number of neurons | Training data | Testing data | ||||
|---|---|---|---|---|---|---|---|
| RMSE | MEP | RMSE | MEP | ||||
| LM | 5 | 0.030754 | 0.998193 | 4.885096 | 0.041497 | 0.996594 | 6.78182 |
| LM | 6 | 0.032552 | 0.998004 | 5.213814 | 0.038462 | 0.997022 | 6.195043 |
| LM | 7 | 0.030092 | 0.998307 | 4.704558 | 0.042288 | 0.996254 | 6.502323 |
| LM | 8 | 0.030137 | 0.998312 | 4.73555 | 0.039643 | 0.996805 | 5.944426 |
| LM | 9 | 0.030071 | 0.998294 | 4.661344 | 0.039203 | 0.996843 | 6.372841 |
| LM | 10 | 0.030225 | 0.998291 | 4.681807 | 0.040709 | 0.996768 | 6.327074 |
| SCG | 5 | 0.072244 | 0.98999 | 13.101028 | 0.078062 | 0.988798 | 14.309749 |
| SCG | 6 | 0.071665 | 0.988747 | 12.497879 | 0.080576 | 0.986665 | 11.671692 |
| SCG | 7 | 0.063915 | 0.991889 | 11.04579 | 0.075926 | 0.988818 | 13.253753 |
| SCG | 8 | 0.074755 | 0.990294 | 13.831071 | 0.08634 | 0.987303 | 15.132508 |
| SCG | 9 | 0.069396 | 0.990757 | 12.416354 | 0.085645 | 0.985038 | 15.559988 |
| SCG | 10 | 0.068476 | 0.99044 | 12.504556 | 0.080975 | 0.987476 | 15.024751 |
| BR | 5 | 0.047514 | 0.994656 | 7.172896 | 0.054438 | 0.993524 | 8.175147 |
| BR | 6 | 0.051035 | 0.993332 | 7.734509 | 0.053446 | 0.993138 | 8.739134 |
| BR | 7 | 0.033373 | 0.997925 | 5.409292 | 0.041812 | 0.996586 | 6.594196 |
| BR | 8 | 0.042232 | 0.996376 | 6.565598 | 0.048604 | 0.994624 | 7.627173 |
| BR | 9 | 0.045649 | 0.995129 | 6.956058 | 0.057261 | 0.991581 | 8.627781 |
| BR | 10 | 0.080131 | 0.981991 | 14.339792 | 0.088471 | 0.981022 | 15.922456 |
Source(s): Authors own work
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.