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The average relative errors between simulation and experiment were less than 10%.
The relative errors between predicted actuation durations and measured ones are in acceptable range.
The DWHE model over the excavation line has the same changing trend with numerical solutions, and the relative errors between them are less than 2%.
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%.
The percentage relative errors between the predicted and experimental values of the ELO% and micro/nanocapsule size are 1.28% and 3.66%, respectively.
The results show that the average relative errors between the network output values and the calculated values of off-design condition are less than 1%, which verify the accuracy, feasibility and validity of this method.
Similar(18)
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 average relative error between the measured data and FE model predictions is 7.95%.
The positioning accuracy can be significantly improved with relative error between 0.01% and 1.37%.
The maximum relative error between vortex flowmeters measurements and Coriolis mass flow measurements was 2.5%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com