Your English writing platform
Discover LudwigExact(8)
To improve the filtering capability some variants of BLLMS, Block Normalized LLMS (BNLLMS) and Block Error Normalized LLMS (BENLLMS) algorithms are implemented in both time domain (TD) and frequency domains (FD).
In our study, we assess the data reconstruction error using the mean squared error normalized by the data size and by the difference between the maximum and minimum value in the data.
The relative root-mean-square error (rRMSE) (the root-mean-square error normalized to the reference volume), was calculated as text{rRMSE}_{j}=frac{sqrt{frac{1}{N} sum_{i=0}^{N-1}left(V_{i,j}-V_{text{ref},j}right)^{2}}}{V_{text{ref},j}}.
Model validated using R-squared, root mean square error, mean absolute percentage error, maximum absolute percentage error, mean absolute error, maximum absolute error, normalized Bayesian information criterion, Ljung Box analysis, predicted value and confidence limits.
We compared each pair of trees using normalized versions of standard measures of topological error (normalized Robinson-Foulds distance (nRF)) and branch-length error (normalized branch-score distance (nBS)) [ 19] (see Additional file 8: Supplementary Methods).
The error (normalized root-mean-square error NRMSE) was measured over the three task windows in the three trials, involving the three movements, of the last test session.
Similar(51)
Looking around SZA = 80°, the propagation errors normalized by x a are 1.7 and 0.5 when we use DSR and SSR, respectively.
To compare the errors between the subjects, the errors were normalized by the average error of the condition "no assist without weight".
The wavelet coupled MARS and MT models were compared with their simple counterpart using standard statistical performance evaluation measures such as Root Mean Square Error (RMSE), Normalized Nash-Sutcliffe Efficiency (NNSE) and Coefficient of Determination (R2).
Since the mean square error is normalized by the energy of the original TFD, it is always between 0 and 1.
The seventh and eighth columns in Table 2 show the estimated velocity and its error range (normalized by the solar wind speed) after the reflection in the L-M-N coordinates, respectively.
Write better and faster with AI suggestions while staying true to your unique style.
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