Fig. 1: Machine learning and model validation.
From: Computationally tuned dual-layer lattice pads adapted to gait-induced pressure distribution
A Comparison between compression test results of randomly generated parameter samples and FE simulation results. At 5 mm compression, the reaction forces of samples A and B in the FE simulations differed from the actual tests by only 3.2% and 0.4%, respectively. B The GPR model achieved an overall MSE of 1029.96 and R2 of 0.97 in predicting parameters and structural properties, with all individual R2 values exceeding 0.96. C Plantar pressure data collected using insole sensors under barefoot conditions closely matched the FE simulation results.
