The root-mean-square error (RMSE) for effect of cell distribution and cell lag on the model fit to experimental data (cells/cm2).</p
<p>RMSE = root mean square error; N = the number of input of the basic GRNN model. When the N was 9,...
<p>Root mean squared error of prediction (RMSEP) for different number of components of partial least...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
This table summarizes the RMSE results for each cell line. We have calculated the discrete RMSE (err...
a<p>The differences with respect to the lowest RMSE values are expressed as a percentage of the lowe...
<p>Error bars are three standard deviations of the mean. RMSE was scaled to the maximum RMSE estimat...
<p>Average root mean squared error (RMSE) of the model with respect to the number of included sites....
Root mean square error (RMSE) and mean difference of simulations and observations (BIAS) of SOC stoc...
Root mean square errors (RMSEopt–Column 2) across the 15 tracking markers between measure and simula...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<p>(A–C) Example tuning curves for 4 cells from different modules and three choices of width constan...
<p>Root mean square error (RMSE) relative to variables total acidity and sugar concentrations measur...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
Root mean square error (RMSE) and mean difference of simulations and observations (BIAS) of SOC stoc...
<p>The root mean square (RMS) error (%) values for subject specific comparisons between the 12 month...
<p>RMSE = root mean square error; N = the number of input of the basic GRNN model. When the N was 9,...
<p>Root mean squared error of prediction (RMSEP) for different number of components of partial least...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
This table summarizes the RMSE results for each cell line. We have calculated the discrete RMSE (err...
a<p>The differences with respect to the lowest RMSE values are expressed as a percentage of the lowe...
<p>Error bars are three standard deviations of the mean. RMSE was scaled to the maximum RMSE estimat...
<p>Average root mean squared error (RMSE) of the model with respect to the number of included sites....
Root mean square error (RMSE) and mean difference of simulations and observations (BIAS) of SOC stoc...
Root mean square errors (RMSEopt–Column 2) across the 15 tracking markers between measure and simula...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<p>(A–C) Example tuning curves for 4 cells from different modules and three choices of width constan...
<p>Root mean square error (RMSE) relative to variables total acidity and sugar concentrations measur...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
Root mean square error (RMSE) and mean difference of simulations and observations (BIAS) of SOC stoc...
<p>The root mean square (RMS) error (%) values for subject specific comparisons between the 12 month...
<p>RMSE = root mean square error; N = the number of input of the basic GRNN model. When the N was 9,...
<p>Root mean squared error of prediction (RMSEP) for different number of components of partial least...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
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