Table 2: The approximation performance of the proposed SOM-Like inverse kinematics modeling method with five different network sizes.
Data Set Network size Average Error(mm) Maximum Error (mm) Computational Time (Sec.)
Training Data Set 5×5×5 36.15258494 119.3132718 12.3940467
10×10×10 12.57448587 59.03169383 13.8339731
15×15×15 7.013908311 70.72144217 18.9198033
20×20×20 4.965376925 51.22875539 33.0356172
20×30×15 4.957974223 60.27973511 53.5397344
Testing Data Set 5×5×5 30.56174454 121.1298817 12.3965267
10×10×10 10.04231373 40.75206502 12.7682083
15×15×15 5.993293332 46.21338893 17.3399506
20×20×20 5.024934603 48.1309779 36.6631104
20×30×15 4.91614231 49.37489347 58.9459323