The Pearson correlation coefficient between the actual and predicted BW (r) and root-mean-square error (RMSE) were used as goodness-of-fit criteria, among others.

All the networks were trained until reaching the lowest possible root-mean-square error (RMSE) on the validation set (a part of the original training set used to prevent overtraining).

To show accurately the difference between synthetic models and reality traces, we use

root-mean-square error (RMSE) to identify the difference degree in Fig.

v](RMSE) = Coefficient of variation of the

root-mean-square error n = Sample size Subscripts s = simulation variable m = measured variable i = index

For each trial, we calculated the

root-mean-square error between the target and the actual position of the virtual object.

The

root-mean-square error [8] between the input and output image is defined as:

78, and the

root-mean-square error of approximation equal to 0.

Root-mean-square An a priori of

Root-mean-square error error of large-scale root-mean-square obtained from independent fields, [degrees]C error, [degrees]C validation, [degrees]C 0.

DF accuracy is defined as the largest

root-mean-square error between the actual and measured angles of arrival for a signal.

20 SCIENCE geophysicists report that estimates of the earth's pole position made by satellite laser ranging (SLR) and very long baseline interferometry (VLBI) differ by about 2 milliseconds (msec) of arc, or about 6 centimeters, indicating that this is the maximum total

root-mean-square error for both techniques together.

From sampling data, we calculated total trial time, boundary violations that occurred when subjects drove outside the path, and the

root-mean-square error (RMSE), defined as the average deviation from the center of the wheelchair path measured in pixels starting at the center point of the body of the wheelchair icon and following the shortest distance to the path midline.

Descriptive statistical testing,

root-mean-square errors (RMSE) and Theil inequality coefficients are used to determine forecast accuracy.