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The results showed that the statistical error values of training were obviously within acceptable uncertainties.
The error values of response surface methodology and artificial neural network model were calculated.
Predicted yields for the cultures show satisfactory error values of 9.36% (maize) and 11.5% (winter wheat).
The mean error values of precipitation from all three weather stations ranged from − 0.19 to 0.05.
where σEx and σEy are the normalized error values of displacement error on the x and y positions, respectively.
Results show that the root mean square error, mean absolute percentage error, and mean bias error values of the proposed model are 18.98%, 6.38% and 2.86%, respectively.
Similar(35)
Resultant low relative error value of the test indicates the usability of ANNs in this area.
The timeSeqErr represented the overall fitting error value of the time series which is the sum of all fitting error value of all segments and variables.
The resolution calculation gives a maximum error value of about 1percentt for this parameter.
The normalized error value of NPLI for effective efficiency varies between −0.23 and +0.09 with respect to LNE.
The results of ANFIS model with error indices including coefficient of determination value of 0.97 and root mean square error value of 0.03 was so suitable.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com