The standings were done by considering minimum error and maximum efficiency according to first to four positions, respectively.
We present an optimal experimental design which estimates kH with minimum error and provides multiple means for building confidence intervals for such estimates.
From the viewpoint of both minimum error and computational time, PSO is recognized as the best model for this kind of problems [30].
It can be seen that when b = 1/ζ Wand ζ ≥ 7, the signals can be reconstructed with minimum error, and the variation of N p had little effect on the error.
During a training process, ANNs change weights to be trained for a minimum error and to achieve defined stopping criteria such as a considered error value, number of iterations, calculation time and validation limits.
Overall, it is verified that the proposed method shows the highest performance especially in the noisy environments, i.e. it has minimum error and the estimation anomalies is less than 5% even in low SNR condition.
The comparison of five models is demonstrated in Fig. 5, where Fig. 5a illustrates the MAE, MAPE, and RMSE of five models with the radar map and Fig. 5b shows the simulated values of the generalized Weng model which has the minimum error and the errors between them.
The research outcome gives a significant result to complete 75.08° rotation of the CAM from lower gear ratio to top gear ratio is less than 6.79 sec, with minimum error and less overshoot with a manual PD tuning contribution to the field of DC motor based electro-mechanical CVT control system.
This expression is similar to that of the well-known LMS algorithm[10], and can be evaluated as the sum of the minimum error and excess error (or misadjustment) as: E e n 2 = ζ 0 + ∑ j = 1 L t r R XX K V j V j n (29).
