root-mean-square error

root-mean-square error

[′rüt ‚mēn ′skwer ′er·ər]
(statistics)
The square root of the second moment corresponding to the frequency function of a random variable.
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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.