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As we can see from Table 4, this novel identification model based on the basic genetic algorithm has a relatively higher precision: the relative error between identification results of pollutant amount and analytic results varied from −1.7 to 5.0 %, and the relative error between identification results of source position and analytic results varied from 0 to −1.6 %.
The relative error between them was lower than 2.0%.
The relative error between theoretical and experimental results is less than 1.6%.
The relative error between the proposed value and the given value in the GSI chart is less than 3.6%.
NSGA-II could approximate the global Pareto front precisely, and the relative error between NLPQL and NSGA-II is trivial.
The relative error between calculation and experimental value is within 2% in steady conditions and within 7% in unsteady conditions.
The comparison results show that the relative error between the calculated desulfurization efficiency and the measured data is almost within ±32.5%.
The results obtained agree with the experiment; the relative error between numerical and experimental models doesn't exceed 15% for all temperatures of each component.
For applying to spatially complex shape control, a modified shape error function based on the relative error between computed and desired surfaces is used.
Similar(2)
The relative errors between predicted actuation durations and measured ones are in acceptable range.
The relative errors between the calculated and the designed flue gas temperature with both designed and calibrated feed coal are found less than 3.5%.
More suggestions(15)
the relative weight between
the systemic error between
the maximum error between
the numerical error between
the spatial error between
the relative gap between
the relative stalemate between
the relative orientation between
the relative difference between
the relative speed between
the relative location between
the relative timing between
the standard error between
the relative power between
the square error between
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com