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. Author manuscript; available in PMC: 2013 Jan 20.
Published in final edited form as: IEEE Trans Biomed Eng. 2012 Mar 5;59(6):1572–1582. doi: 10.1109/TBME.2012.2189771

Fig. 5.

Fig. 5

Summary of the comparison between symbolic and polynomial regressions in their ability to extrapolate and their performance with training dataset reduction. The achievable percentage extrapolation for models trained over different training dataset sizes to maintain RMS errors below 5% is shown for each regression technique for the three tendons of the planar robotic system. For each training dataset size, symbolic regression can extrapolate to larger ranges beyond the training dataset compared to polynomial regressions.