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The proposed ANN model is in a good agreement with the numerical data with a minimum error.
The models predicted the resulting peak anterior posterior forces generated on the costal boundary with a minimum error of 1% and a maximum error of 36%.
Some users would like to know the finest granularity (i.e., the data center's GPS coordinates or address) with the highest accuracy (i.e., with a minimum error margin).
They show the method is able to estimate the linear and angular speeds of the vehicle with high accuracy as well as its ability to follow the real trajectory drove by the vehicle along long paths within a minimum error.
During a training process, ANNs change weights to be trained for a minimum error and to achieve defined stopping criteria such as a considered error value, number of iterations, calculation time and validation limits.
On the basis of the proposed solution, the optimum values for ε x and ε y (two unknown parameters) with a minimum error in these 24 points are 5.1e−4 and −6.8e−4, respectively.
Similar(42)
In an attempt to augment the hiding capacity while minimizing the error on the stego audio,[12] adopted a minimum error-replacement method while embedding four bits per sample.
The estimation of the material parameters is cast as a minimum-error, weighted multi-objective, non-linear optimization problem with constraints.
The process is then reiterated a fixed number of times or until a predetermined minimum error is achieved [24].
During the HAM solution a fixed minimum error of 10−40 is assigned to the package BVPh2.0.
The model with the maximum testing balanced accuracy (TBA), a CVC > 5 out of 10, and a minimum prediction error (PE /misclassification error for that comparison was considered as the best model [ 42].
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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