Monte Carlo simulation was performed to verify the performance of the parameter estimated method.
To quantify this competition, we keep track of the performance of the parameter vectors generated during the LH and DE phases of the optimization procedure.
The first experiment is to investigate the convergence performance of the parameter tuning procedure.
Also, the impact of model uncertainty to the performance of the parameter identification is investigated.
The performance of these parameters has been tested with an automatic system that emulates a perceptual assessment according to the G and R features of the GRBAS scale.
Since the performance of the LRSV estimator depends on the T 60 parameter, we analyzed the performance as a function of this parameter.
In order to evaluate the performance of different parameter optimization methods on this task, we conducted experiments with artificial data, obtained by simulating the Rab5-to-Rab7 conversion model, and with real data from experimental measurements.
To investigate the effect of the synthesis method (synthesis type) of Sr1−xYxTiO3 ceramics on the performance of these materials, this parameter was also introduced to the model and the obtained results were shown in 3D graphs.
We adopt this thresholding scheme and test the performance of different parameter values.
Thus we characterize the performance of this technique with an accuracy parameter (See RESULTS Section).
