If the RMSE is higher than 5 (and there are also many significant differences (> 25%) between the data), the data in this study are not considered comparable. Kinematics Overall, the markerless system demonstrated similar gait patterns except in case of the internal hip and knee rotations,...
aWeb Usage Mining for a BetterWeb-Based Learning 网用法采矿为一基于BetterWeb的学会 [translate] aThroughout, Eq.(2), with the benchmark index data, ranks first with the lowest RMSE’s; Eq.(4), with the new index data, ranks second; and Eq.(3) with the old index data, ranks third...
various log-based TOC estimation methods indicate that, the multivariate fitting method of GR-U-DEN-CNL combination is preferable, with the correlation coefficients of 0.78 and 0.97 for the entire and objective interval of the Taiyuan Formation respectively, and with the minimum MSE and RMSE values...
muscle weakness, or hemiplegic conditions without any control parameter tuning. Analysis of the RMSE for joint tracking, CoP-based stability, and gait symmetry shows the
Mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), normalized root mean square error (NRMSD) and R2 determination coefficients were selected to evaluate the WOA-BP model and BP neural network model (Equation (17)).(17)MAE(y,ŷ)=1n∑i=1n|y-ŷi...
The obtained three-parameter multivariate regression (MLR) and adaptive neuro-fuzzy inference system (ANFIS) modeling strategies resulted in encouraging statistics of R2 = 0.906, RMSE = 0.335 and R2 = 0.930, RMSE = 0.287 vol.%, respectively, using the entire DIPPR dataset. Using such a large ...
but instead of using the published able-bodied data, the kinetic data measured during in-vivo testing from each LLTE feet were used. The lower leg motion during stance predicted by the constitutive model was then compared using a RMSE to the measured lower leg motion from the motion capture ...
The correlation between the fields and the ground truth is either preserved or improved with the analog-based methods when compared to HRES. The remaining portion of RMSE is the bias, which in this study is significantly lower than CRMSE for all the prediction systems analyzed (not shown). ...
(CL1), while showed higher correlations to the DTC of parameters when the cognitive load increases: DTC effect on the number of tapping (CL2), on rmse of the jerk (CL2), on the SMA (CL2), on the opening velocity (CL3), on the SMA (CL3), and on the kurtosis of the acceleration...
To evaluate the performance of the calibrated APSIM-Maize model, statistical indices of the correlation coefficient (R2), root mean square error (RMSE), and normalized root mean squared errors (NRMSE) (Loague and Green, 1991) were calculated from the observed and simulated variables, which were...