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The predicted viscosities show good accuracy in comparison with the experimental viscosities.
This application demonstrated more accuracy in comparison with the statistical methods.
It provides the best classification accuracy (95.3% of accuracy) in comparison with others.
The proposed algorithm yields superior results of improved accuracy in comparison with several typical methods.
Finally, it is observed that the proposed method shows the higher classification accuracy in comparison with recent works.
The analytical results show good modeling accuracy in comparison with the experimental results, and thus verifying the established models.
In another aspect, Azizi [1] shows that ANFIS model provides better forecasting accuracy in comparison with Bayesian model.
In addition, this model has a much better accuracy in comparison with the correlations obtained from regression.
The results show that the three surrogate model present superior accuracy in comparison with the quadratic polynomial regression.
A pebble bed characteristic sample was also investigated in order to check the measurement accuracy in comparison with previous results.
The proposed two-probe method extends measureable range and improves accuracy in comparison with the use of one single probe.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com