Research Article
[Retracted] An Improved Inverse Kinematics Solution for a Robot Arm Trajectory Using Multiple Adaptive Neuro-Fuzzy Inference Systems
Table 3
Results of ANFIS models (RMSE = rad, MSE = rad2).
| ANFIS | SCM | FCM | GP | Joint | Training RMSE | Testing RMSE | Testing MSE | Testing R2 | Training RMSE | Testing RMSE | Testing MSE | Testing R2 | Training RMSE | Testing RMSE | Testing MSE | Testing R2 |
| Θ1 | 0.1257 | 0.1272 | 0.01618 | 0.9888 | 0.1596 | 0.1469 | 0.0215 | 0.98551 | 0.1978 | 0.1904 | 0.0361 | 0.97532 | Θ2 | 0.2700 | 0.2720 | 0.0740 | 0.906 | 0.2631 | 0.0745 | 0.2729 | 0.902 | 0.2539 | 0.24468 | 0.05988 | 0.96412 | Θ3 | 0.3105 | 0.5477 | 0.2999 | 0.77059 | 0.2772 | 0.5033 | 0.25331 | 0.82261 | 0.11781 | 0.3547 | 0.1258 | 0.9171 | Θ4 | 0.3440 | 0.3434 | 0.1179 | 0.92265 | 0.3298 | 0.3255 | 0.10598 | 0.9288 | 0.2753 | 0.26149 | 0.06837 | 0.9587 | Θ5 | 0.04961 | 0.2159 | 0.046625 | 0.97171 | 0.2298 | 0.22503 | 0.06266 | 0.96117 | 0.2699 | 0.2261 | 0.051121 | 0.96123 |
|
|