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That is a mere rounding error compared with the euro zone G.D.P. of 9.4 trillion euros.
Figure 2, shows the obtained error compared with the exact.
The results show that the modified divergence criterion could give smaller computational error compared with the previous criteria.
Deep learning is also been used in indoor localization that reduces the location error compared with the three existing methods [73].
(2.5) Such a scheme can be regarded as an improved Milstein method, which is expected to reduce the local truncation error compared with the original Milstein scheme (2.2).
Especially when the period is very large such as T = 90 pixels, the proposed optimization has the least phase RMS error compared with the other two methods.
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In terms of accuracy, the SVM technique resulted in a less RMS error compared with that of the BPNN model (Table 4).
The identified Multi-Layer Perceptron (MLP) neural network model yields small verification error compared with that of the adaptive Radial Base Function (RBF) neural network model.
The simulation results verify the efficient utilization of platform workspace and less sensation error compared with that obtained by the classical washout filter.
The DSA approach provides smaller errors compared with the other approaches.
The system model and its associated statistical characteristics of the noises are obtained based on the priori knowledge, which definitely have some errors compared with the true values.
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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