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While this estimation may be sufficient for most purposes, Scharr [38] proposed a new operator that uses an optimized filter for convolution based on minimizing the weighted mean-squared angular error in the Fourier domain.
We also excluded data from trials where the monkey's root mean squared steering error (angular separation between current trajectory and target) was greater than its average error by 1 standard deviation.
The algorithm employs iterative mean squared error minimization using least squares curve fitting [64].
Improvements in root mean squared displacement of 47% and peak displacement of 53% were found with the adjustable absorber tuned to the angular velocity of the unbalance.
What was the root mean squared error?
Thereby, the proposed estimator reduces the mean squared error.
The results achieved a mean squared error of 0.07.
The training was performed on each class to minimize the mean squared error value.
We capture the error created through this process through the root mean squared error (RMSE).
Rules for exponent selection based on minimum mean squared error (MSE) criteria are developed.
Third, the mean squared error between the fitted function and the data is returned by.fit.fit
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