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Prediction error is used as a criterion to determine whether the interpolated value is acceptable.
In GentleBoost algorithms, the weighted squared error is used as an error measure.
The stochastic H∞-norm of the filtering error is used as a criterion for filter design in the NCS framework.
This PSO-RE-MIMO SVM uses a novel learning strategy whereby the maximum relative error is used as a constraint in the optimization problem.
An upper bound to the H∞ norm of the transfer-function from the system input to the filtering error is used as performance criterion.
In these methods, image quality is assessed by calculating the overall pixel error, and average error is used as the final assessment result.
Similar(45)
The root mean square (RMS) error was used as an error function to evaluate the quality of model.
The signal corresponding to the motor speed error and change in speed error are used as inputs to ANN Controller.
Values of root mean square error of calibration and prediction, and normalized root mean squared error were used as criteria to define the best calibration condition.
Mean Standardized Error and Standardized Root Mean Square Error were used as cross-validation criteria for the interpolation of the year 2014 (Chang 2017; Lloyd 2009).
However, the quadratic spectral amplitude (QSA) error was used as its cost function, which limits the ability of noise reduction and affects the enhancement performance of the method.
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